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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1→b/2representstheeasthalf,b/2+1→brepresentsthewesthalf；Nisthetotalnumberoflocationsinwarehouse.ThewidthofthecounterisD1,D1等于1meteranditsdepthisD3,D3等于0.5meter；ThewidthofthechannelisD2,D2等于1meter；theWidthofthemainchannelisD4,D4等于2meter.

Whenanytwolocationsofpiandpjdistributeinthesamelaneway（xi等于xj）,theshortestdistancebetweenthemis：

dij等于zi-zj×D1,{（1≤zi≤b/2,1≤zj≤b/2）or（b/2

Whenthetwolocationsarenotdistributedinthesamelaneway（xi≠xj）,canbedividedintothefollowingthreecircumstances：

Whenyi等于yj等于1：

dij等于zi+zj×D1+xi-xj×D2+2D3,（1≤zi≤b/4,1≤zj≤b/4）30-zi-zj×D1+xi-xj×D2+2D3,（b/4

Whenyi等于yj等于0：

dij等于zi+zj-30×D1+xi-xj×D2+2D3,（b/2

Whenyi≠yj：

dij等于zi-zj×D1+xi-xj×D2+2D3+D4,{（1≤zj≤b/2,b/2

ThedistancefromI/Opointtoanylocationis：

d0i等于（b/2-zi）×D1+（xi-1）×D2+2D3+D4/2,（xi∈{1,...,a},1≤zi≤b/2）（zi-b/2）×D1+（xi-1）×D2+2D3+D4/2,（xi∈{1,...,a},b/2
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Theobjectivefunctionofcalculatingthetotaldistanceis：

D等于mindij×xij+d1O+dNO（1）

Intheformulaabove：dijindicatesthedistancebetweenanytwolocations（locationiandlocationj）inthewarehouse；d1,O（ordN,O）indicatesthedistancefromthefirst（orthelast）pickingmoditytotheI/Opoint.Because,pickerssetofffromtheI/Opoint,whentheyfinishtheirtaskstheyhavetodeliverthegoodstotheI/Opoint.

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Theconstraintconditionsare：

xij等于1,（i≠j；j等于1,2,...N）（2）

xij等于1,（i≠j；i等于1,2,...N）（3）

Intheformulasabove：xijandxjiaredecisionvariables,ifthepickergofromlocationiandlocationj,xij等于1orelsexij等于0；xijandxijindicatethetotalfrequencyoflocationitolocationjandlocationjtolocationi.Whenbiningtheformulasof（2）and（3）makeanindicationofthereisonlyonewaybetweeniandjlocations,sopickersmaynotmakearepeatedpicking.2Algorithmicprocesses

MultiplePeoplePickingAssignmentandRoutingOptimizationBasedonGeneticAlgorithm参考属性评定

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1）Therequiredinformation：Makeastatisticforallthelocationsofpickinggoods,designaprograminordertocalculatetheshortestdistancesbetweenanytwogo

责任编辑类有关论文范文ods.Setupthedistancematrixwhichisrepresentedbyatwo-dimensionalarrayintheprogram.

2）Coding：nindicatesthetotallocationnumberofthepickinggoods.Encodeallthepickinglocationswith0,1,...,n-1（eachpickinglocationhasauniquenumber）.

3）Initialization：Generateminitializedarraysinthemethodofarrangingthenlocationnumberrandomly（mindicatesthenumberofthereservedindividualsineachgeneration）.

4）Alternative：Whenanewgenerationemergences,abandonthedisadvantageswiththeprobabilityofpsandthenreplacetheinferiorgroupwiththeoptimalindividuals.

5）Cross：Withthecrossoverprobabilitypcselectstheindividualsfromthecurrentgeneration,andthendividedalltheselectedindividualsintotwogroupsasthetwomalesofthenextgeneration.Namethemasparent1andparent2.Selectacrossoverpointrandomlyforeachpairoftheparent.Thecrossingprocessisdesignedasfollows：

father1：0,1,2,3|4,5,6,7,8,9father2：5,6,4,3|2,1,0,8,7,9?圯son1：0,1,2,3|*,*,*,*,*,*son2：5,6,4,3|*,*,*,*,*,*

?圯son1：0,1,2,3|5,6,4,8,7,9son2：5,6,4,3|0,1,2,7,8,9

Asshownabove“|”indicatesthecrosspoint；the“*”partduplicatesfromfirstelementofanotherparenttothelastone,extracttheelementswhicharedifferentfromtheformerones.

6）Variation：Withthemutationratepmselectstheindividualsfromthecurrentgeneration,anddeterminetwomutationpointsrandomlyforeachindividual（selectedasthecrossingpoint）,exchangethetwoelementsatthemutationpoints,aftertheprocessofvariation,newindividualsappear.Inordertoavoidprematureconvergence,whentheevolutionnumberislargeenoughthemutationratepmwillbeincreased.

7）CalculateObjectivefunctionvalue：anyindividual,e.g.0,1,2,3,4,5,6,7,8,9,*,*,*******,canbedividedintoMone-dimensionalarraysbytheneverrepeatedM-1randomseparationpoints（M≤n）.“|”representtheseparationpoints,e.g.0,1,2,3|4,5,6,7,8|9,*,*,*|******...（thenumberofpickersisM,thisstepaimtoassigntasksfortheMpickers）.Inthiswaywecansplitanone-dimensionalarrayintochunksofnewarraysas[0,1,2,3],[4,5,6,7,8],[9,*,*,*],...thentakethebiggestobjectivefunctionvalueofthenewarraysastheoriginal’s.8）Select：accordingtotheobjectivefunctionvalue,sortallindividualsofeachgenerationandrese

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