欢迎来到天天文库
浏览记录
ID:39765651
大小:212.87 KB
页数:17页
时间:2019-07-11
《Reevaluating Genetic Algorithm Performance under coordinate Rotation of Benchmark Function》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、ReevaluatingGeneticAlgorithmPerformanceundercoordinateRotationofBenchmarkFunctionsAsurveyofsometheoreticalandpracticalaspectsofgeneticalgorithmsRalfSalomonAILab,ComputerScienceDepartment,UniversityofZurichWinterthurerstrasse190,8057Zurich,SwitzerlandFAX:+41-1-3630035;Emai
2、l:salomon@i.unizh.chAbstractThisworkanalyzessomeconceptsofgeneticalgorithmsandexplainswhytheymaybeappliedwithsuccesstosomeproblemsinfunctionoptimization.Inadditiontootherperformanceproperties,ithasbeenshownthatgeneticalgo-rithmsareabletoovercomelocalminimainhighlymultimo
3、dalfunctions(e.g.,Rastrigin,Schwefel).Theperformanceofgeneticalgorithmsissupportedbyanextensivetheory,whichisbasedontheassumptionofadditivegeneeects.Butthecurrentworkshowsthattheassumptionofadditivegeneeectsisnotweak,andthatthedependenceonspecicparametersettingsismuchs
4、trongerthanoftenbelieved.Furthermore,theassumptionsregardingthetnessfunctionaresorestrictingthatslightmodicationsofthestandardtestfunctionscauseafailureoftheoptimizationprocedureeventhoughthefunction'sstructureispreserved.Thecurrentexperimentsfocusonafewwidely-usedscala
5、bletestfunctions.theresultsindicatethatastandardgeneticalgorithmcanndtheglobaloptimumofRastrigin-likefunctionsnotduetotheeciencyofthere-combinationoperatorandtheregulardistributionoflocalminima,butbecausetheoptimizationisdecomposableintonindependentone-dimensionalsubpro
6、b-lems.Asalogicalconsequenceoftheanalysis,itisshownhowthefunction'spropertiescanbeexploitedinordertoconstructamoreecientalgorithm.KeywordsGENETICALGORITHMS{FUNCTIONOPTIMIZATION{PERFORMANCECOORDINATEROTATION11IntroductionAgeneticalgorithm(GA)isaheuristicsearchprocedurebas
7、edonnaturalselectionandgenetics,whichmaintainsapopulationoftrailsolutions.Geneticalgorithms(GAs)aresuitableforaddressingmanyfunctionoptimizationproblems.Recentde-velopmentssuchastheparallelgeneticalgorithm[10]andthebreedergeneticalgo-rithm[12,13]havebeenshowntobesuccessfu
8、linoptimizingmultimodalfunctions.IthasbeenreportedthatsuchGAsovercomemillionsoflocaloptimaandcan
此文档下载收益归作者所有