TSP is a typical NP-complete problem, that is, the time complexity in the worst case increases exponentially as the scale of the problem increases, and the genetic algorithm can be effectively solved.

Filename	Size	Update
chapter4 基于遗传算法的TSP算法\CityPosition1.mat	324	2010-08-02
chapter4 基于遗传算法的TSP算法\CityPosition2.mat	447	2010-08-02
chapter4 基于遗传算法的TSP算法\CityPosition3.mat	570	2010-08-03
chapter4 基于遗传算法的TSP算法\data.mat	1607	2010-12-09
chapter4 基于遗传算法的TSP算法\Distanse.m	271	2010-08-05
chapter4 基于遗传算法的TSP算法\DrawPath.m	614	2010-08-05
chapter4 基于遗传算法的TSP算法\dsxy2figxy.m	960	2010-08-02
chapter4 基于遗传算法的TSP算法\Fitness.m	125	2010-08-04
chapter4 基于遗传算法的TSP算法\GABPMain.m	2307	2010-12-12
chapter4 基于遗传算法的TSP算法\GA_TSP.m	2021	2014-11-05
chapter4 基于遗传算法的TSP算法\InitPop.m	238	2010-08-04
chapter4 基于遗传算法的TSP算法\Mutate.m	263	2010-08-04
chapter4 基于遗传算法的TSP算法\Objfun.m	404	2010-11-14
chapter4 基于遗传算法的TSP算法\OutputPath.m	158	2010-08-05
chapter4 基于遗传算法的TSP算法\PathLength.m	304	2010-08-05
chapter4 基于遗传算法的TSP算法\Recombin.m	1403	2010-08-04
chapter4 基于遗传算法的TSP算法\Reins.m	296	2011-04-04
chapter4 基于遗传算法的TSP算法\Reverse.m	530	2011-04-04
chapter4 基于遗传算法的TSP算法\Select.m	233	2011-04-04
chapter4 基于遗传算法的TSP算法\Sus.m	455	2011-04-04
chapter4 基于遗传算法的TSP算法\test.m	187	2010-08-21
chapter4 基于遗传算法的TSP算法	0	2017-07-05

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