基于粒子群优化算法（PSO）的50个城市TSP问题的求解，可推广至类似NP-hard问题。-Based on Particle Swarm Optimization (PSO) of the 50 cities TSP problem solving can be extended to a similar NP-hard problem.

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

TSP的matlab神经网络解法，包括遗传算法、粒子群算法 、鱼群算法、模拟退火法程序，程序有注释-The TSP Matlab intelligent solution, including genetic algorithm, particle swarm optimization, fish school algorithm, simulated annealing procedures, procedures comment

粒子群算法解决TSP问题matlab源代码-Particle swarm algorithm to solve TSP problem