[Intelligent algorithm] MATLAB implements WSO war strategy optimization algorithm and WSO algorithm to solve TSP problem

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MATLAB Realizes WSO War Strategy Optimization Algorithm

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MATLAB Realizes WSO War Strategy Optimization Algorithm

WSO (War Strategy Optimization) algorithm is a swarm intelligence algorithm that simulates the behavior of ant colonies in nature, and is used to solve discrete optimization problems. The following introduces the method of MATLAB to realize the WSO algorithm.

Algorithm flow:

1. Initialization: Set parameters such as the number of ants, number of iterations, volatilization factor, pheromone concentration, and inspiration factor, and initialize the pheromone concentration.
2. Ant search: Each ant chooses the next position according to pheromone and heuristic information, and updates the pheromone concentration.
3. Determine whether the stopping criterion is satisfied, and if so, output the optimal solution; otherwise, return to step 2.

Algorithm implementation:

function [best_sol, best_cost, cost_history