基于PSO算法的TSP解算器附matlab代码.zip

# Simple-TSP-using-PSO-enhancement-with-WSO ## Traveling Salesman Problem Solver using the White Shark Optimizer Algorithm This code repository introduces an innovative solution to the Traveling Salesman Problem (TSP) using the White Shark Optimizer (WSO), a swarm intelligence algorithm inspired by the hunting behavior of white sharks. ### Features - **Cities as Particles**: Each TSP city is modeled as a particle within the WSO framework, enhancing the search for the shortest path. - **Customized Velocity Update**: Incorporates a unique velocity function reflecting shark swimming patterns for improved solution space exploration. - **MATLAB Implementation**: The WSO algorithm is implemented and tested in MATLAB, leveraging its advanced computational features. ### Outcomes The modified WSO algorithm has been proven to outperform traditional TSP solvers, achieving high-quality solutions with efficient computation times. ### Contributions Researchers and enthusiasts are welcome to explore, test, and contribute to the application of WSO in this and other optimization problems. ### Getting Started Refer to the provided documentation and instructions in the repository to begin experimenting with the WSO algorithm. ### Keywords - Traveling Salesman Problem (TSP) - White Shark Optimizer (WSO) - Swarm Intelligence - Combinatorial Optimization - MATLAB - Optimization Algorithms