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时间:2020-05-04
《基于动态迁移的ε约束生物地理学优化算法-论文.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、计算机研究与发展D()I:l0.7544“ssnl000—1239.20l4.20120666JournalofComputerResearchandDevelopment51(3):580—589,2014基于动态迁移的s约束生物地理学优化算法毕晓君王珏李博李吉成(哈尔滨工程大学信息与通信1二程学院哈尔滨150001)(哈尔滨工业大学电子与信息丁程学院哈尔滨150001)(bixiaojun@hrbeu.edu.cn)An£ConstrainedBiogeography‘BasedOptimizationwithDynamicMigrat
2、ionBiXiaojun。WangJLie,I.iBo,andLiJicheng(College0,Informationand(7ommunicationEngineering,HarbinEngineeringUniversity,Harbin150001)(Scbool『J/Electronic~andInformationEngineering,HarbinInstituteofTeehnology,Harbin150001)AbstractAnew£constrainedbiogeography—basedoptimization
3、withdynamicmigration,eBB()一dm,isproposedtosolveconstrainedoptimizationproblems.Intheproposedalgorithm,the£constrainedmethodiSutilizedtohandletheconstraints.Accordingtotheconstraintviolationofthecolony,thesleve1iSsettoutilizetheusefulinformationforthebetterinfeasibleindivid
4、ua1sufficientlyandtoimprovethesearchefficiencyforthefeasiblespace.Simultaneously,basedonthefeatureofeconstrainedmethod,aneworderingrulebasedon£constrainedisusedtoobtaintheimmigrationrateandtheemigrationrate,whichcandynamicallybalancetherelationbetweenthefeasibleindividuals
5、andtheinfeasibleindividuals.Additionally,anewdynamicmigrationstrategyisshowntoenhancethesearchabilityofthemigrationmechanism.Eventually,withthepurposeofimprovingtheprecisionofconvergence,thepiecewiselogisticchaoticmapisintroducedtoimprovethevariationmechanism.Numericalexpe
6、rimentson13well—knownbenchmarktestfunctionsshowthateBB{)一dmiscompetitivewithotheroptimizationalgorithmsontheaccuracyandthespeedofconvergence,especiallywhenbeingappliedtosolvecomplexsingle—objectiveCOPs.Keywordsbiogeography—basedoptimization;econstrained;orderingrule;dynami
7、cmigrationstrategy;chaoticvariationmechanism摘要提出基于动态迁移的£约束生物地理学优化算法(eBBOdm).首先,利用£约束方法来处理约束条件,并根据群体约束违反度的优劣程度对水平参数e进行自适应调整,充分利用较优不可行个体的有效信息,有效提高对可行域的搜索效率.其次,采用新的£约束排序机制确定迁入率和迁出率,较好地平衡可行个体与不可行个体之间的关系.再次,为了增强迁移机制的搜索能力,提出新的动态迁移策略.最后,采用分段logistic混沌映射改进物种变异机制,提高了算法的收敛精度.通过对l3个标
8、准测试函数的仿真实验表明,eBB()一dm较其他算法在收敛精度和收敛速度上具有明显优势,尤其适合于复杂单目标约束优化问题的求解.关键词生物地理学优化;e约束;排序机制;动态迁移策
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