Cloud Based Software Computing as a Service in Hybrid Evolution Algorithm with Feedback Assistance

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    摘要 Thispaperdevelopscloudbasedsoftwarecomputingasaservice(SCaaS)inthehybridevolutionalgorithmwithfeedbackassistancetosolvethedataoptimalNP-completeproblemssuchastravelsalesmanproblemsandjobshopschedulingproblems.Suitablesteps,methods,orproceduresofthegeneticalgorithmcanbeadoptedfromvariousevolutionproceduresormethodsofthegeneticalgorithmsbasedonthefitnessevaluationresultsandsurvivalratioofdifferentcrossovermethodsinthecurrentgeneration.Theproposedsystemcandynamicallyemphasizethecorrespondingmethodsorproceduresforthebetterperformanceinoptimalsolutionsearching.Inaddition,accordingtotheproposedXMLformat,systemuserscanuploadonlythecodingofchromosomeswithoutimplementingthegeneticalgorithmprogram.Furthermore,byusingthefeedbackassistance,theconvergencetimeoftheoptimalsolutioncanbeenhanced.IndexTermsCloudcomputing,evolutionalgorithm,jobshopschedulingproblem,travelingsalesmanproblem.
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    出版日期 2016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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