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（中国期刊网平台首次上网日期，不代表论文的发表时间）
