Stochastic focusing search: a novel optimization algorithm for real-parameter optimization

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    摘要 Anoveloptimizationalgorithmcalledstochasticfocusingsearch(SFS)forthereal-parameteroptimizationisproposed.Thenewalgorithmisaswarmintelligencealgorithm,whichisbasedonsimulatingtheactofhumanrandomizedsearching,andthehumansearchingbehaviors.Thealgorithm'sperformanceisstudiedusingachallengingsetoftypicallycomplexfunctionswithcomparisonofdifferentialevolution(DE)andthreemodifiedparticleswarmoptimization(PSO)algorithms,andthesimulationresultsshowthatSFSiscompetitivetosolvemostpartsofthebenchmarkproblemsandwillbecomeapromisingcandidateofsearchalgorithmsespeciallywhentheexistingalgorithmshavesomedifficultiesinsolvingcertainproblems.
    机构地区 不详
    出版日期 2009年04月14日(中国Betway体育网页登陆平台首次上网日期,不代表论文的发表时间)
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