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	<id>https://optimization.cbe.cornell.edu/index.php?action=history&amp;feed=atom&amp;title=Stochastic_dynamic_programming</id>
	<title>Stochastic dynamic programming - Revision history</title>
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	<updated>2026-05-01T07:55:48Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6017&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
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		<updated>2021-12-16T05:10:47Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 01:10, 16 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we go over some problems &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;addressed in the literature &lt;/del&gt;in more detail.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we go over some &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;of these &lt;/ins&gt;problems in more detail.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6015&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
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		<updated>2021-12-16T05:07:18Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 01:07, 16 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;investigate &lt;/del&gt;some problems addressed in the literature in more detail.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;go over &lt;/ins&gt;some problems addressed in the literature in more detail.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6009&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6009&amp;oldid=prev"/>
		<updated>2021-12-16T04:59:41Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
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				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 00:59, 16 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we investigate some &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;of these &lt;/del&gt;problems&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, available &lt;/del&gt;in &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;different research fields, &lt;/del&gt;in more detail.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we investigate some problems &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;addressed &lt;/ins&gt;in &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;the literature &lt;/ins&gt;in more detail.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6000&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=6000&amp;oldid=prev"/>
		<updated>2021-12-16T04:52:24Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 00:52, 16 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we &lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;explain &lt;/del&gt;some of these fields in more detail.&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; Here, we &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;investigate &lt;/ins&gt;some of these &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;problems, available in different research &lt;/ins&gt;fields&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/ins&gt;in more detail.&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
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		<title>Aliamadeh1373: /* Applications: Fields */</title>
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		<updated>2021-12-16T04:47:17Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 00:47, 16 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles,&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt; &lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;Here, we explain some of these fields in more detail.&lt;/ins&gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5690&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5690&amp;oldid=prev"/>
		<updated>2021-12-15T15:34:50Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 11:34, 15 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;,&lt;/ins&gt;&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5688&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5688&amp;oldid=prev"/>
		<updated>2021-12-15T15:34:20Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 11:34, 15 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/del&gt;&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management,&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation,&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5686&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
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		<updated>2021-12-15T15:33:02Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 11:33, 15 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds, &amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management &amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/del&gt;drought mitigation &amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/del&gt;fuel consumption optimization for hybrid vehicles &amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/del&gt;and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management,&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds,&amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;,&lt;/ins&gt;&amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt; drought mitigation&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;,&lt;/ins&gt;&amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt; fuel consumption optimization for hybrid vehicles&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/ins&gt;&amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt; and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5680&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5680&amp;oldid=prev"/>
		<updated>2021-12-15T15:29:29Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 11:29, 15 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt;water quality management &amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning, &amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds, &amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management &amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt;, drought mitigation &amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt;, fuel consumption optimization for hybrid vehicles &amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt;, and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt; water quality management&lt;ins style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;,&lt;/ins&gt;&amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning,&amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds, &amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management &amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt;, drought mitigation &amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt;, fuel consumption optimization for hybrid vehicles &amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt;, and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
	<entry>
		<id>https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5679&amp;oldid=prev</id>
		<title>Aliamadeh1373: /* Applications: Fields */</title>
		<link rel="alternate" type="text/html" href="https://optimization.cbe.cornell.edu/index.php?title=Stochastic_dynamic_programming&amp;diff=5679&amp;oldid=prev"/>
		<updated>2021-12-15T15:28:09Z</updated>

		<summary type="html">&lt;p&gt;&lt;span class=&quot;autocomment&quot;&gt;Applications: Fields&lt;/span&gt;&lt;/p&gt;
&lt;table style=&quot;background-color: #fff; color: #202122;&quot; data-mw=&quot;interface&quot;&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
				&lt;col class=&quot;diff-content&quot; /&gt;
				&lt;col class=&quot;diff-marker&quot; /&gt;
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				&lt;tr class=&quot;diff-title&quot; lang=&quot;en&quot;&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 11:28, 15 December 2021&lt;/td&gt;
				&lt;/tr&gt;&lt;tr&gt;&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot; id=&quot;mw-diff-left-l572&quot;&gt;Line 572:&lt;/td&gt;
&lt;td colspan=&quot;2&quot; class=&quot;diff-lineno&quot;&gt;Line 572:&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;==Applications: Fields==&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;−&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management, &amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt;&lt;del style=&quot;font-weight: bold; text-decoration: none;&quot;&gt;, &lt;/del&gt;water quality management &amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning, &amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds, &amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management &amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt;, drought mitigation &amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt;, fuel consumption optimization for hybrid vehicles &amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt;, and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot; data-marker=&quot;+&quot;&gt;&lt;/td&gt;&lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Stochastic dynamic programming formulations have been proposed for a wide range of practical decision-making problems. These include, but are not limited to, water reservoir management,&amp;lt;ref name=&quot;Cho&quot;&amp;gt;K. B. Cho, [https://ecommons.cornell.edu/handle/1813/59071 ”Stochastic Dynamic Programming (SDP) and Sample Stochastic Dynamic Programming (SSDP) for Optimization of Korean Hydropower Plant”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2017.&amp;lt;/ref&amp;gt;water quality management &amp;lt;ref name=&quot;Cardwell&quot;&amp;gt;H. Cardwell and H. Hugh Ellis, [https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/93WR00182?casa_token=6E0TEGSHqaUAAAAA:pg5MnyGs-BC3-RfPjCOyiHdNEdNMzh0IEPAiSyXwu-ZroY8F8YNEfU1tXuPjCdQe17WHwA11aOvvAM4 &quot;Stochastic Dynamic Programming Models for Water Quality Management&quot;], &#039;&#039;Water Resources Research,&#039;&#039; vol. 29, pp. 803-813, 1993.&amp;lt;/ref&amp;gt; production planning, &amp;lt;ref name=&quot;Cristobal&quot;&amp;gt;M. P. Cristobal, L. F. Escudero, and J. F. Monge, [https://www.sciencedirect.com/science/article/pii/S0305054808001743?casa_token=DLkQB_rkaPkAAAAA:9HCElTKAh5qw2X3hUHK9lQwQp9Y18QiqmNOoHPYopCPn_saXDpZYRyd-Eo6LhC1FVnKMJBJ1K9w ”On stochastic dynamic programming for solving large-scale planning problems under uncertainty”], &#039;&#039;Computers and Operations Research,&#039;&#039; vol. 36, pp. 2418–2428, 2009.&amp;lt;/ref&amp;gt; breeding policy in livestock herds, &amp;lt;ref name=&quot;Huirne&quot;&amp;gt;R. B. M. Huirne, [https://www.sciencedirect.com/science/article/pii/037722179390059V ”Stochastic dynamic programming to support sow replacement decisions”], &#039;&#039;European Journal of Operational Research,&#039;&#039; vol. 67, pp. 161–171, 1993.&amp;lt;/ref&amp;gt; energy allocation and reserve management &amp;lt;ref name=&quot;Xi&quot;&amp;gt;X. Xi, R. Sioshansi, and V. Marano, [https://link.springer.com/article/10.1007/s12667-013-0100-6 ”A stochastic dynamic programming model for co-optimization of distributed energy storage”], &#039;&#039;Energy Systems,&#039;&#039; vol. 5, pp. 475–505, 2014.&amp;lt;/ref&amp;gt;, drought mitigation &amp;lt;ref&amp;gt;H. Eum, Y. Kim and R. N. Palmer, [https://ascelibrary.org/doi/full/10.1061/%28ASCE%29WR.1943-5452.0000095?casa_token=u3oajH8jNKQAAAAA%3AuS7PtNTDIcantDBJDoxwXiiGstWfDeyLbCD42uGNCbv4KwimKH0l4uPUmJRTCOwmRoHKz6j0Cgs &quot;Optimal Drought Management Using Sampling Stochastic Dynamic Programming with a Hedging Rule&quot;], &#039;&#039;Journal of Water Resources Planning and Management,&#039;&#039; vol. 137, pp. 113-122, 2009&amp;lt;/ref&amp;gt;, fuel consumption optimization for hybrid vehicles &amp;lt;ref&amp;gt;L. Johannesson, M. Asbogard and B. Egardt, [https://ieeexplore.ieee.org/abstract/document/4114343?casa_token=iS1YJf2STT0AAAAA:zjicCg18NJWXZp_VVMDFer_njsMQodDByK76acHLzE1vjB46aDg8ccMbPRFTw6sjQiHiNZqk7Q &quot;Assessing the Potential of Predictive Control for Hybrid Vehicle Powertrains Using Stochastic Dynamic Programming,&quot;] &#039;&#039;IEEE Transactions on Intelligent Transportation Systems,&#039;&#039; vol. 8, pp. 71-83, 2007.&amp;lt;/ref&amp;gt;, and management of land for endangered species.&amp;lt;ref&amp;gt;M. Westphal, [https://esajournals.onlinelibrary.wiley.com/doi/full/10.1890/1051-0761%282003%29013%5B0543%3ATUOSDP%5D2.0.CO%3B2 &quot;The Use of Stochastic Dynamic Programming in Optimal Landscape Reconstruction for Metapopulations&quot;], &#039;&#039;Ecological Applications,&#039;&#039; vol. 13, pp. 543-555, 2003.&amp;lt;/ref&amp;gt;&lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;tr&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;&lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;===Water resources and reservoir operation===  &lt;/div&gt;&lt;/td&gt;&lt;/tr&gt;
&lt;/table&gt;</summary>
		<author><name>Aliamadeh1373</name></author>
	</entry>
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