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责任编辑类有关论文范文,与MultiplePeoplePickingAssignmentandRoutingOptimizationBasedonGeneticAlgorithm相关毕业论文怎么写
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rvethetopcindividuals.9）Repeatthestepsfromthe4thtothe8thdescribedabove,untilitreachesthemaxgeneration（genmax）.
10）Theend：OutputtheMsubarraysofthepopulationofthefinalgeneration,meanwhileexporttheobjectivefunctionvaluesofeachindividual.
3Thesimulationexperimentandresult
1）Supposethatinacertainperiodoftime,distributioncenterreceives20customerorders,thetotaltypesofgoodsinthe20ordersaccountsfor50whichlocatedinthefollowlocations：（1,1,10）,（1,1,12）,（1,1,15）,（1,0,16）,（1,0,18）,（1,0,19）,（1,0,20）,（2,1,11）,（2,1,13）,（2,1,14）,（2,0,15）,（2,0,16）,（2,0,18）,（2,0,21）,（3,1,8）,（3,1,15）,（3,0,16）,（3,0,17）,（3,0,21）,（3,0,22）,（3,0,23）,（4,1,12）,（4,1,14）,（4,0,17）,（4,0,18）,（4,0,23）,（4,0,24）,（5,1,12）,（5,1,13）,（5,1,14）,（5,0,15）,（5,0,17）,（5,0,18）,（6,1,9）,（6,1,10）,（6,1,11）,（6,1,14）,（6,0,16）,（6,0,17）,（6,0,20）,（6,0,22）,（7,1,10）,（7,0,16）,（7,0,21）,（8,1,10）,（8,1,12）,（8,1,15）,（8,0,19）,（9,0,16）,（10,0,16）；
2）Cordthe50locationswith0～49decimalnumbers.
3）ImporttheLocationinformationintotheprogram,Setupparametersasfollows：N等于100；M等于2,M等于3orM等于4；pc等于0.9；pm等于0.1；c等于40；genmax等于200.
WhenM等于2,theoptimalpathis：
[4,3,2,1,8,9,10,11,12,16,17,23,24,29,30,31,34,35,36,37,42,45,46,47,48,49,50],[5,6,7,15,14,13,22,21,20,19,18,28,27,26,25,33,32,41,40,39,38,44,43]；Theshortestwalkingdistance：S等于518meters.
WhenM等于3,theoptimalpathis：
[7,6,5,1,2,3,4,15,14,13,8,9,10,11,12,16,17,22,21,20,19,18,23,24],[28,27,26,25,33,32,29,30,31,41,40,39,38],[44,43,48,49,50,45,46,47,42,34,35,36,37]；Theshortestwalkingdistance：S等于306meters.
WhenM等于4,theoptimalpathis：
[31,30,29,23,24,17,16,12,11,10,9,8,4,3,2,1],[28,27,26,25,18,19,20,21,22,15,14,13,5,6,7],[50,49,48,43,44,38,39,40,41,33,32],[45,46,47,42,34,35,36,37]；Theshortestwalkingdistance：S等于189meters.
4TheTag
Thispapertakesartificialpickingoperationsina（下转第57页）（上接第27页）certaindistributioncenterwhichhasdouble-areawarehouseasthestudyingobject.Establishesthemathematicalmodel,designsaheuristicalgorithmbasedonthegeicalgorithm,andobtainsagoodresult.However,thereisstillmuchroomforimprovement,theactualprocessoforder-pickingprocessismuchmoreplicatedthantheestablishedmathematicalmodel,therearemanyrestrictions,forexample,thepickingcartsmaybecapacityconstrained,workingefficiencyofdifferentworkerscannotbethesame,fewofthewarehousehasainerraticgeometricfigure,onlytakingthepickertraveldistanceasthemeasurestandardsisnotaccurateenough.Intheprocessoforder-batching,thesubmissionofcustomerordersisadynamicprocesswhichshouldalsobeconsideredwhencalculatingtheoptimalpath.Inaddition,thealgorithmitselfalsohassomedisadvantages,howtoexpeditetheconvergencerate,avoidthelocalconvergenceandmakeaneasycalculationalsoneedsfurtherstudy.【References】
[1]Drury,J..Towardsmoreefficientorderpicking[J].IMMmonograph,No.1.Cranfield,UK：TheInstituteofMaterialsManagements,1988.
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[5]Le-Duc,T.,&deKoster,R..Traveldistanceestimatedandstoragezoneoptimizationina2-blockclass-basedstoragestrategywarehouse[J].InternationalJournalofProductionResearch,2005,43（17）：3561-3581.
[6]LiShizhen,DuWenhong.Theclusteringanalysisoftheorder-batchingpickingmodelbasedonheuristicalgorithm[J].Packagingengineering,2008（12）：5-9.
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