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