Eight step procedures

From Cornell University Computational Optimization Open Textbook - Optimization Wiki
Revision as of 18:32, 20 November 2020 by Skepdb (talk | contribs) (→‎Definition)
Jump to navigation Jump to search

Author: Eljona Pushaj, Diana Bogdanowich, Stephanie Keomany
Steward: Fengqi You

Introduction

Theory, Methodology, and/or Algorithmic Discussion

Definition

To solve a problem using the 8-step procedure, one must follow the following steps:

Step 1: Specify the stages of the problem
• The stages of a dynamic programming problem can be defined as points where decisions are made. These are often denoted with the variable .

Step 2: Specify the states for each stage
• The states of a problem are defined as the knowledge necessary to make a decision, or . We set equal to the maximum value of .

Step 3: Specify the allowable actions for each state in each stage
• This can be defined as:
o

Step 4: Describe the optimization function using an English-language description.
• In this sentence, we describe the optimization function for each state, or , and each stage, or . This can also be called

Step 5: Define the boundary conditions
• This helps create a starting point to finding a solution to the problem. First, we set for all values of . Here, we can note that Failed to parse (syntax error): {\displaystyle s = 0,…,C}

Step 6: Define the recurrence relation
• During this step, we make an allowable decision involving items for the remaining capacity for items . We can write this statement as:
o f*n(s) = max j=0,1,…,min{a[n], floor(s/w[n]0} {b[n,j]+f*n+a(s-j*w[n])}

Step 7: Compute the optimal value from the bottom-up
• In this step, a table is made

Numerical Example

Applications

Conclusion

References