Genetic algorithms using multi-objectives(6)
发布时间:2021-06-07
发布时间:2021-06-07
We are interested in a job-shop scheduling problem corresponding to an industrial problem. Gantt diagram’s optimization can be considered as an NP-difficult problem. Determining an optimal solution is almost impossible, but trying to improve the current s
184A.Cardonetal./RoboticsandAutonomousSystems33(2000)179–190
6.2.EquivalentSOP2:TheconstraintapproachTheconstraintapproach[16,19]isbasedonthefol-lowingparametrizedminimumproblem:Pk( ):minx∈X
fk(x),
(6)
subjecttofj(x)≤ j,j=1,...,nandj=k,where =( 1,..., n)T∈Rnisthevectorofparameters.Themainadvantageofthisapproachisthatconvex-ityassumptionsarenotrequired.ThereforeallParetooptimalsolutionscanalwaysbediscoveredbysolv-ingtheconstraintproblemPtheMOPk( )foranyk.Thecorre-spondencebetweenandtheSOPissubjecttothe0followingrules.
IfxisanoptimalsolutionofPfeasible,thenk( 0x)0with 0avec-torforwhichPk( 0)isisanondomi-natedsolutionoftheMOP,ifoneofthetwofollowingconditionsoccurs:
x0isauniquesolutionofPk( 0)forsomegivenkbetween01andn.
xisnotunique,butsolvesP,n.
k( 0)foreachandeveryk=1,...Onthecontrary,ifx isanondominatedsolutionoftheMOP,an canalwaysbefoundsuchthatx istheoptimalsolutionofPkk( )for =1,...,nfor.Inallfact,i=this1,...condition,nwithiseachi=veri edandeveryk.wheni=fi(x )6.3.Resultsfromthegeneticalgorithm
Fromourobjectmodelization,ageneticalgorithmusingtheplacingmethodhasbeendeveloped[24,47].ThisprogramusestheC++languageinordertouseitonanSGIOrigin2000.Herearesomebenchmarks(seeTable1).
Asthecomputationaltimedependsonthecom-puterloading,thisrealtimedoesnotcorrespondto
Table1
BenchmarkresultsNumberofNumberofNumberofCalculationjobsoperationsmachinestime
1010450s
50549min,53s5010414min,27s100101040min,58s500
100
50
2h,24min,7
s
Fig.2.Dataextraction
software.
Fig.3.Tardinessasafunctionofthenumberofgenerations.
theCPUtime(Fig.2).Wecanthendetermineheuris-tics[8,9,24],tousewithourdynamicmodelbasedonthecontract-netprotocol[40,48].Anotherresultcomingfromthesimulationprocessisasetofgraphsgivingthetardinessandtheadvanceasafunctionofthenumberofgenerations.Wecanseethatthedelaydecreasesrapidly.Butitisnotnecessarytoincreasethenumberofgenerationstoobtainabetterresult(Fig.3).
6.4.Problemsencountered
Inourproblem,the rstlevelofmodelizationwasastaticmodel.Itdoesnottakeintoaccountthefactthatwehaveinteractionsbetweenmachinesandjobs.Ajobcanbedoneonlyiftheresourceisfree.
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