Application of Tabu Search Algorithm in Assignment Optimization Problems
Tabu search algorithm is a meta-heuristic optimization algorithm based on local search, which is often used to solve combinatorial optimization problems. In the assignment optimization problem, the tabu search algorithm can be used to find the optimal task assignment scheme. This article will introduce the application of the tabu search algorithm in the assignment optimization problem, and use MATLAB to implement the corresponding code.
The assignment optimization problem is a class of classic combinatorial optimization problems, which includes a set of tasks and a set of executors, each task needs to be assigned to one executor, and each executor can only be responsible for one task. The goal is to maximize the overall execution cost or benefit by optimizing the matching relationship between tasks and executors. The tabu search algorithm can find a better task allocation scheme by continuously searching and adjusting the matching between tasks and executors.
The following is the source code of using MATLAB to implement the tabu search algorithm to solve the assignment optimization problem:
function [best_solution, best_cost] = tabu_search(cost_matrix, max_iter, tabu_length)
n = si