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1、ISSN1000-9825,CODENRUXUEWE-mail:jos@iscas.ac.cnJournalofSoftware,Vol.21,No.6,June2010,pp.1296−1307http://www.jos.org.cndoi:10.3724/SP.J.1001.2010.03592Tel/Fax:+86-10-62562563©byInstituteofSoftware,theChineseAcademyofSciences.Allrightsreserved.∗求解全局优化问题的混
2、合自适应正交遗传算法+江中央,蔡自兴,王勇(中南大学信息科学与工程学院,湖南长沙410083)HybridSelf-AdaptiveOrthogonalGeneticAlgorithmforSolvingGlobalOptimizationProblems+JIANGZhong-Yang,CAIZi-Xing,WANGYong(SchoolofInformationScienceandEngineering,CentralSouthUniversity,Changsha410083,China)+Cor
3、respondingauthor:E-mail:ywang@csu.edu.cnJiangZY,CaiZX,WangY.Hybridself-adaptiveorthogonalgeneticalgorithmforsolvingglobalopti-mizationproblems.JournalofSoftware,2010,21(6):1296−1307.http://www.jos.org.cn/1000-9825/3592.htmAbstract:Thispaperpresentsahybri
4、dself-adaptiveorthogonalgeneticalgorithm(HSOGA)basedonorthogonalexperimentaldesignmethodforsolvingglobaloptimizationproblems.InHSOGA,theorthogonalexperimentaldesignmethodisutilizedtodesigncrossoveroperator,andasaresult,aself-adaptiveorthogonalcrossoverop
5、eratorisproposed.Theself-adaptiveorthogonalcrossoveroperatorself-adaptivelyadjuststhenumberoforthogonalarray’sfactorsandthelocationfordividingtheparentsintoseveralsub-vectorsaccordingtothesimilarityofthetwoparents,inordertoproduceasmallbutrepresentatives
6、etofpointsasthepotentialoffspring.Inaddition,inHSOGAtheself-adaptiveorthogonalcrossoveroperatorisalsoadoptedtogenerateaninitialpopulationthatisscattereduniformlyoverthefeasiblesolutionspaceinordertomaintainthediversity.Moreover,alocalsearchschemeisincorp
7、oratedintoHSOGAinthepurposeofenhancingthelocalsearchabilityandspeedinguptheconvergenceofHSOGA.HSOGAistestedwithfourteenbenchmarkfunctions.TheexperimentalresultssuggestthatHSOGAisgenericandeffective.Keywords:orthogonalgeneticalgorithm;localsearch;globalop
8、timization;orthogonalexperimentaldesign摘要:提出了一种基于正交实验设计的混合自适应正交遗传算法(hybridself-adaptiveorthogonalgeneticalgorithm,简称HSOGA)以求解全局优化问题,此算法利用正交实验设计方法设计交叉算子,并提出一种自适应正交交叉算子.该自适应正交交叉算子根据父代个体的相似度自适应地调整正交表的因素个数和对父代个体进行因素分割的位置,生成具有代
