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ID:32059240
大小:3.27 MB
页数:92页
时间:2019-01-31
《基于鲁棒优化的半期望设施选址与回收物流优化分析》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、万方数据东北大学硕士学位论文AbstractARobustOptimizationApproachtoSemiobnoxiousFacilit3LocaticProblemandbeml-obnoxlousaClllWLocationProblemandReturnedLogisticsOptimizationAbstractSemi-obnoxiousfacilityprovidesabenefitorservicetosociety,whileadverselyaffectingthequalityoflifeorsocialv
2、aluesinanumberofpossibleways.Asakeylinkinthereturnedlogistics,semi—obnoxiousfacilitylocationproblemhascometobeahotresearcharea.Fromthecomprehensivesurveyofresearchonthesemi—obnoxiousfacilitylocationproblem,mostoftheresearchresultsarebasedonthedeterministicbackground,th
3、einfluenceofuncertaintyonthefacilitylocationisneglected.Thestudyonreturnedlogisticsisfocusedonthenetworkdesign,whichisunderthedeterministicorstochasticenvironment.However,theprobabilitydistributionoftheuncertaindatacan’tbeeasilygotinactualproductioncondition,orsystemca
4、n’tholdtheinfluencefromtheoccurrenceofsmallprobabilityevent.Thustherubostapproachtosemi—facilitylocationproblemandreturnedlogisticsoptimizationhasagreatofacademicandrealisticmeaning.Thispaperapplytherobustoptimizationmethodtosemi-obnoxiousfacilitylocationproblemandretu
5、rnedlogisticsopfimization,detailedresearchcontents,researchmethodsandcorrespondingconclusionsincluding:(1)Withcapacityconstraintandwithoutcapacityconstraint,thispapertakesanoverallconsiderationonaminisumfunctiontorepresentthelocationcostsandanotherminisumfunctiontorepr
6、esenttheobnoxiouseffectsofthefacility,andtwobasicmodelsforsemi—obnoxiousfacilitylocationproblembasedonbi-objectiveparticleswarlTIareestablished.DiscretebinaryparticleswarllloptimizationalgorithmandVC++6.0softwareareappliedtosolvethemodelundercapacityconstraint.(2)Twofo
7、rmsforrecoveryamountuncertaintyareconsideredinthispaperdisposalrateuncertaintyandaveragerecoveryamountuncertainty.Undertheaboveuncertainconditions,intervalanalysisandscenarioanalysisareappliedtodescribe..III..万方数据东北大学硕士学位论文Abstragtrecoveryamountuncertainty,semi-obnoxio
8、usfacilitylocationrobustoptimizationmodelsareestablishedbasedonBertsimasrobustoptimizationmethod.Finally,anumericalst
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