mmas The existence of information Volatilization Coefficient in basic ant colony algorithm leads to the gradual loss of pheromones on the path that has never been searched, and the probability of being selected decreases, so that it is easy to fall into local optimum. The strategy of adopting the optimal solution of this iteration in the update of pheromone in the MMAS model

Filename	Size	Update
最大最小蚁群算法\MMAS\Ant.cpp	3193	2011-01-25
最大最小蚁群算法\MMAS\Ant.h	581	2011-01-24
最大最小蚁群算法\MMAS\Common.cpp	1723	2011-01-25
最大最小蚁群算法\MMAS\Common.h	1224	2011-01-25
最大最小蚁群算法\MMAS\MMAS.cpp	718	2011-01-25
最大最小蚁群算法\MMAS\MMAS.sln	897	2010-05-06
最大最小蚁群算法\MMAS\MMAS.suo	10752	2011-01-25
最大最小蚁群算法\MMAS\MMAS.vcproj	4132	2010-05-06
最大最小蚁群算法\MMAS\ReadMe.txt	973	2010-05-06
最大最小蚁群算法\MMAS\stdafx.cpp	208	2010-05-06
最大最小蚁群算法\MMAS\stdafx.h	233	2010-05-06
最大最小蚁群算法\MMAS\Tsp.cpp	3961	2011-01-25
最大最小蚁群算法\MMAS\Tsp.h	523	2011-01-25
最大最小蚁群算法\MAX-MIN_Ant_System.pdf	338069	2011-01-18
最大最小蚁群算法\MMAS	0	2011-01-25
最大最小蚁群算法	0	2011-01-25

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