Simulated Annealing Algorithm for the Multiple Choice Multidimensional Knapsack Problem

Implementation of simulated annealing algorithm for the multiple choice multidimensional knapsack problem. The multiple choice knapsack problem has n groups of items and m constraints. The objective is to choose one item from each group such that the total value (profit) is maximized while all of the m constraints are satisfied. The implementation is quite fast, and the code finds optimum or very close to optimum solutions in a very short duration.

Simulated Annealing Algorithm for the Multiple Choice Multidimensional Knapsack Problem

(Fixed a few errors in the C++ code) Implementation of simulated annealing algorithm for the multiple choice multidimensional knapsack problem. The multiple choice knapsack problem has n groups of items and m constraints. The objective is to choose one item from each group such that the total value (profit) is maximized while all of the m constraints are satisfied.

Simulated Annealing Algorithm for the Multiple Choice Multidimensional Knapsack Problem

Implementation of simulated annealing algorithm for the multiple choice multidimensional knapsack problem. The multiple choice knapsack problem has n groups of items and m constraints. The objective is to choose one item from each group such that the total value (profit) is maximized while all of the m constraints are satisfied.