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ID:19568283
大小:81.50 KB
页数:13页
时间:2018-10-03
《多目标遗传算法代码》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、%functionnsga_2(pro)%%MainFunction%MainprogramtoruntheNSGA-IIMOEA.%Readthecorrespondingdocumentationtolearnmoreaboutmultiobjective%optimizationusingevolutionaryalgorithms.%initialize_variableshastwoarguments;Firstbeingthepopulationsize%andthesecondtheproblemnumber.'1'correspondstoMOP1and'2'%corre
2、spondstoMOP2.%inp_para_definition=input_parameters_definition;%%Initializethevariables%Declarethevariablesandinitializetheirvalues%pop-population%gen-generations%pro-problemnumber%clear;clc;tic;pop=100;%每一代的种群数gen=100;%总共的代数pro=2;%问题选择1或者2,见switchswitchprocase1%Misthenumberofobjectives.M=2;%Visth
3、enumberofdecisionvariables.Inthiscaseitis%difficulttovisualizethedecisionvariablesspacewhilethe%objectivespaceisjusttwodimensional.V=6;case2M=3;V=12;case3%case1和case2用来对整个算法进行常规验证,作为调试之用;case3为本工程所需;M=2;%(outputparameters个数)V=8;%(inputparameters个数)K=10;end%Initializethepopulationchromosome=initia
4、lize_variables(pop,pro);%%Sorttheinitializedpopulation%Sortthepopulationusingnon-domination-sort.Thisreturnstwocolumns%foreachindividualwhicharetherankandthecrowdingdistance%correspondingtotheirpositioninthefronttheybelong.真是牛X了。chromosome=non_domination_sort_mod(chromosome,pro);%%Starttheevoluti
5、onprocess%Thefollowingareperformedineachgeneration%Selecttheparents%PerfromcrossoverandMutationoperator%PerformSelectionfori=1:gen%Selecttheparents%Parentsareselectedforreproductiontogenerateoffspring.The%originalNSGA-IIusesabinarytournamentselectionbasedonthe%crowded-comparisionoperator.Theargum
6、entsare%pool-sizeofthematingpool.Itiscommontohavethistobehalfthe%populationsize.%tour-Tournamentsize.OriginalNSGA-IIusesabinarytournament%selection,buttoseetheeffectoftournamentsizethisiskept%arbitary,tobechoosenbytheuser.pool=round(pop/2);tour=2;%下面进行二人锦标赛配对,新的群体规模是原来群体的一半parent_chromosome=tourn
7、ament_selection(chromosome,pool,tour);%PerfromcrossoverandMutationoperator%TheoriginalNSGA-IIalgorithmusesSimulatedBinaryCrossover(SBX)and%Polynomialcrossover.Crossoverprobabilitypc=0.9andmutation%probabilityispm=1/n,w
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