Ant colony algorithm is a probabilistic algorithm for finding optimal paths. It was put forward by Marco Dorigo in his doctoral dissertation in 1992, which is inspired by the behavior of ants in finding food in the process of finding food. This algorithm has the characteristics of distributed computing, positive feedback and heuristic search. In essence, it is a heuristic global optimization algorithm in evolutionary algorithm. Matlab implementation of ant colony algorithm

Filename	Size	Update
蚁群算法\初始数据.txt	45	2018-04-30
蚁群算法\蚁群过程文件	0	2018-04-30
蚁群算法\蚁群过程文件\QACS蚁群算法.m	2151	2018-04-30
蚁群算法\蚁群过程文件\蚁群算法（适合）.asv	2811	2018-04-30
蚁群算法\蚁群过程文件\蚁群算法（适合）.m	2765	2018-04-30
蚁群算法\蚁群过程文件\蚁群算法.m	516	2018-04-30
蚁群算法\蚁群过程文件\蚁群算法.txt	512	2018-04-30
蚁群算法\蚁群过程文件\蚁群算法1.m	3377	2018-04-30
蚁群算法\蚁群算法（D为最短路矩阵）.m	2585	2018-04-30

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