Metaheuristics for Multiobjective Optimization

Metaheuristics for Multiobjective Optimization

ID:39508362

大小:993.75 KB

页数:92页

时间:2019-07-04

Metaheuristics for Multiobjective Optimization_第1页
Metaheuristics for Multiobjective Optimization_第2页
Metaheuristics for Multiobjective Optimization_第3页
Metaheuristics for Multiobjective Optimization_第4页
Metaheuristics for Multiobjective Optimization_第5页
资源描述:

《Metaheuristics for Multiobjective Optimization》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、MetaheuristicsforMultiobjectiveOptimizationCarlosA.CoelloCoelloCINVESTAV-IPNDepto.deIngenier´ıaEl´ectricaSecci´ondeComputaci´onAv.InstitutoPolit´ecnicoNacionalNo.2508Col.SanPedroZacatencoM´exico,D.F.07300,MEXICOccoello@cs.cinvestav.mx1MotivationMostproblemsinnaturehaveseveral(possiblyconfl

2、icting)objectivestobesatisfied.Manyoftheseproblemsarefrequentlytreatedassingle-objectiveoptimizationproblemsbytransformingallbutoneobjectiveintoconstraints.2Whatisamultiobjectiveoptimizationproblem?TheMultiobjectiveOptimizationProblem(MOP)(alsocalledmulticriteriaoptimization,multiperforman

3、ceorvectoroptimizationproblem)canbedefined(inwords)astheproblemoffinding(Osyczka,1985):avectorofdecisionvariableswhichsatisfiesconstraintsandoptimizesavectorfunctionwhoseelementsrepresenttheobjectivefunctions.Thesefunctionsformamathematicaldescriptionofperformancecriteriawhichareusuallyincon

4、flictwitheachother.Hence,theterm“optimize”meansfindingsuchasolutionwhichwouldgivethevaluesofalltheobjectivefunctionsacceptabletothedecisionmaker.3AFormalDefinitionThegeneralMultiobjectiveOptimizationProblem(MOP)canbeformallydefinedas:Findthevector~x∗=[x∗,x∗,...,x∗]Twhichwillsatisfythem12nineq

5、ualityconstraints:gi(~x)≥0i=1,2,...,m(1)thepequalityconstraintshi(~x)=0i=1,2,...,p(2)andwilloptimizethevectorfunctionf~(~x)=[f(~x),f(~x),...,f(~x)]T(3)12k4Whatisthenotionofoptimuminmultiobjectiveoptimization?Havingseveralobjectivefunctions,thenotionof“optimum”changes,becauseinMOPs,wearere

6、allytryingtofindgoodcompromises(or“trade-offs”)ratherthanasinglesolutionasinglobaloptimization.Thenotionof“optimum”thatismostcommonlyadoptedisthatoriginallyproposedbyFrancisYsidroEdgeworthin1881.5Whatisthenotionofoptimuminmultiobjectiveoptimization?ThisnotionwaslatergeneralizedbyVilfredoPar

7、eto(in1896).AlthoughsomeauthorscallEdgeworth-Paretooptimumtothisnotion,wewillusethemostcommonlyacceptedterm:Paretooptimum.6DefinitionofParetoOptimalityWesaythatavectorofdecisionvariables~x∗∈FisParetooptimaliftheredoesnotexistanother~x∈Fsuchthatf(~x)≤f(~x∗)foriialli=1

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。