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- ...riables. However, the pseudo-convexity and the combinatorial nature of the fractional objective function can cause computational challenges to the general-purpos ...tion method, which can reformulate the MILFP into the mixed-integer linear programming (MILP) problem, to reduce the memory usage and enhance solution efficiency. ...25 KB (3,776 words) - 07:38, 21 December 2020
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- *# Discuss dynamic programming and cutting plane solution techniques briefly. *# A math programming formulation of the optimization problem with objective function and constra ...4 KB (525 words) - 07:12, 21 December 2020
- ...x solid #a3bfb1; text-align:left; color:#000; padding:0.2em 0.4em;">Linear Programming (LP)</h2> ...olid #a3bfb1; text-align:left; color:#000; padding:0.2em 0.4em;">NonLinear Programming (NLP)</h2> ...7 KB (931 words) - 21:45, 9 October 2023
- ...g the problem easier to solve. A mixed-integer problem can be reduced with mixed-integer cuts until its feasible region reaches the convex hull, where all extreme p == Mixed-Integer Process == ...13 KB (1,990 words) - 23:07, 13 December 2020
- ...branch and bound algorithm by reducing the number of nodes and Non-Linear Programming (NLP) problems required to solve the MINLP. The organization of general design problems into programming models allows for the defining and finding of their (global) optimal soluti ...13 KB (2,041 words) - 11:41, 1 April 2022
- ...(Luedtke, Jim)<ref>Luedtke, Jim. “The Branch-and-Cut Algorithm for Solving Mixed-Integer Optimization Problems.” ''Institute for Mathematicians and Its Applicatio |Linear Programming ...11 KB (1,724 words) - 07:38, 21 December 2020
- ...riables. However, the pseudo-convexity and the combinatorial nature of the fractional objective function can cause computational challenges to the general-purpos ...tion method, which can reformulate the MILFP into the mixed-integer linear programming (MILP) problem, to reduce the memory usage and enhance solution efficiency. ...25 KB (3,776 words) - 07:38, 21 December 2020
- ...proach to represent the formulation of traditional Mixed-Integer Nonlinear Programming, solving discrete/continuous optimization problems. By using algebraic cons ...onal time, Grossmann and others proposed nonconvex generalized disjunctive programming method. ...17 KB (3,019 words) - 11:37, 1 April 2022
- ...oducts from microalgae: Two‐stage adaptive robust mixed integer fractional programming model and computationally efficient solution algorithm. <i>AIChE J.</i>, 63 ...u, A. (2015). Design of Near Optimal Decision Rules in Multistage Adaptive Mixed-Integer Optimization. <i>Operations Research</i> 63(3): 610-627.</ref> ...32 KB (5,075 words) - 07:41, 21 December 2020