Hybrid particle swarm algorithm instead of the traditional particle swarm algorithm in the method to update the position of the particle by tracking the maximum, but the introduction of crossover and mutation in genetic algorithm, the particle swarm extremum with individual extremum and cross and variation of the particle itself to search the optimal solution.

Filename	Size	Update
chapter15 基于混合粒子群算法的TSP搜索算法\bayg29.txt	695	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\burma14.txt	236	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\ch130.txt	4394	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\ch150.txt	5098	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\dist.m	126	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\eil51.txt	444	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\fitness.m	419	2010-10-16
chapter15 基于混合粒子群算法的TSP搜索算法\gr96.txt	1628	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\main.asv	5551	2011-03-19
chapter15 基于混合粒子群算法的TSP搜索算法\main.m	5566	2011-03-19
chapter15 基于混合粒子群算法的TSP搜索算法\Oliver30.txt	434	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\pr226.txt	3459	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\pr76.txt	1117	2009-06-12
chapter15 基于混合粒子群算法的TSP搜索算法\st70.txt	678	2009-06-12

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