采用遗传微粒群算法（GPSO）求解旅行商问题（TSP）的源代码。内附多个算例，本算法对于中小规模问题求解效率很高，对于大规模问题则效率略低。如有任何疑问，请于http://2shi.phphubei.com.cn/index.php发帖询问。-Genetic Particle Swarm Optimization (GPSO) for Traveling Salesman Problem (TSP) of the source code. Containing a number of examp

旅行商问题（TSP）是一个经典的优化组合问题，本个案列采用遗传算法来求解TSP问题，进行了选择、交叉、变异算子的设计，并通过MATLAB对算法进行了实现，附有详细的说明和代码。,The traveling salesman problem (TSP) is a classic combination optimization problem, in this case the column using a genetic algorithm to solve TSP problem select

蚁群算法是现代优化算法，这个是直接可以编译通过的蚁群算法求解51城市的TSP问题的MATLAB源代码 -Ant colony algorithm is a modern optimization algorithm, which is directly compiled by the ant colony algorithm to solve the 51 cities of the TSP problem MATLAB source code