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ID:42817228
大小:91.04 KB
页数:12页
时间:2019-09-23
《量子免疫算法的改进及其在组合优化中的应用-英语论文》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、量子免疫算法的改进及其在组合优化中的应用-英语论文量子免疫算法的改进及其在组合优化中的应用/Abstract:Thispaperintroducesanewimprovedalgorithm:thequantumimmunealgorithm,whichcombinestheimmunealgorithmwiththequantumgeneticalgorithm・Ilgetsashorterglobalconvergencetime.Anditperformswe11whileapplyingtotheCombinatorialOptimization.Keywords:qu
2、antumimmunealgorithm;quantumgeneticalgorithm;CombinatorialOptimization;greedalgorithm1IntroductionQuantumGeneticAlgorithm,whichistheproductofthecombinationofquantumcomputationtheoryandgeneticalgorithm,hasbetterqualityonpopulationdiversityandconvergence・However,informationontheproblemoftencan
3、notbereflectedintheprocessofiterativealgorithm.QuantumImmuneAlgorithm(QIA),whichisposedbasedonintroducingvaccinationideaofartificialimmunetoquanlumgeneticalgorithm,canbettersolvetheaboveproblem.Knapsackproblemisaclassiconeofcombinatorialoptimization[1].Thenamecomesfromtheideaofchoosingandput
4、tingthemostappropriateitemsintothegivenknapsack.Knapsackproblemhasbroadapplicationbackground,suchasbudgetcontrol1ing,programselecting,materialcutting,cargoloadingandsoon[2]・Generally,greedyalgorithmordynamicprogrammingalgorithmcanbeadopted,whi1etheformcrhasnowaytooverallQtosolvethisproblemby
5、usingquantumimmunealgorithm.2QuantumImmuneAlgorithm1.1QuantumGeneticAlgorithmQuantumGeneticAlgorithmisakindofrandomlyoptimizingwaytooptimizeproblemsolution.ItdevelopsfromsimulatingDarwinianevolutiontheoryandMendeliangeneticstheory.Onlybyusingtargetfunctionguidingundertheprobabi1ityprinciplet
6、odocompleteandseif・adaptablesearch,canthisalgorithmdealwithdifficultandcomplexproblemswhichmanytraditionaloptimizingmethodcannotsolve・Therefore,itiswidespreadwithinalotofoptimizationareasandbecomesahottopicforinterdisciplinaryresearch.QuantumGeneticAlgorithm(QGA)istheproductofthecombinationo
7、fquantumcomputationtheoryandgeneticalgorithmprinciple.Itisbasedonquantumcomputationtheory,andappliestheprobabilityrangedisplayofquantumbittothecodingofchromosomes,ofwhichonemayexpresstheaddingofmulti-states.Intheprocessofarithmetic,performingquantu
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