基于遗传算法的转炉炉修优化研究

基于遗传算法的转炉炉修优化研究

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时间:2018-11-10

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1、ShanghaiJiaoTongUniversityMasterDegreeofEngineeringAbstractStudyonOptimizationofConverterRepairProjectBasedonGeneticAlgorithmAbstractThenetworkplanningtechnologyapplicationinengineeringprojectmanagementhasbeenwidelyused.Ittendtooptimizesingleortwogoals,B

2、utitismoredifficulttoachieveoptimizationwhendealwithmultipletargetssuchastime,cost,qualityetc.Intheselectionofnetworkplanningoptimization,thetargetsmustbediscrete.Itmustbeone-to-onecorrespondenceinmultipleobjectiveoptimization,somoreworkmustbedonewhensta

3、rttosolve.Forthelimitationsinstructureofthemodel,itcannotcompletelycovertheoptimalsolutionscheme.Multi-objectivegeneticalgorithmisdevelopedinrecentyears,itisaneffectivemethodinthesolutionofmulti-objectiveoptimizationandnon-inferior.Becauseofitshigheffici

4、ency,practicalfeatures,sotherearemoreandmoreacademicattentions.ThispaperisbasedonthepracticeinShanghaiBaosteelsteelmakingconverterproject.Itputforwardtheoptimizingstructurewhichisbasedonamulti-objectivegeneticalgorithm,auxiliarynetworkplanandcurvefitting

5、methodsetc.tobuildthemulti-objectiveoptimizationmodelinconverterrepairingprojectmanagement.Consideringgeneticsearchcanbedoneincontinuousinterval,whendesignthemodelcode,onlyeverycomponent’stimelimitsarejudgedascodingfactors----todealwiththeproblemthatyouh

6、avetobuildone-to-onecorrespondencediscretemodelwhenyouusemultiplecodingfactortocode.Itcanreducethesubjectivefactors’interferencetooptimalsolution.Intheknownarrangementsforthedurationofeachsub-project,youcansolvethecorrespondingcriticalpathanditscorrespon

7、dingtotaldurationaccordingtothenetworkplanningtechnique.Afteranalyzedthekeyproblemoffurnacerepairprojectmanagement,youcangetthemutualinfluenceamongthetimelimit,costandquality,andcorrespondingequationcanalsobebuiltthroughthecurvefitting,withtheadditionofe

8、verycomponent’sduration,youcangettheprojectcostandqualityobjectives.Takingtimelimit,costandqualityasfitnessfunction,transformingthefurnacerepairprojectmanagementintoamulti-objectiveoptimizationproblem,usingtheNSGA-IIinmult

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