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 Description: 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.
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FilenameSizeDate
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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