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时间:2019-06-25
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1、EuropeanJournalofOperationalResearch65(1993)383-399383North-HollandTheoryandMethodologyLagrangeanheuristicsforlocationproblemsJ.E.BeasleyTheManagementSchool,ImperialCollege,LondonSW72AZ,England,UKReceivedSeptember1988;revisedMarch1991Abstract:InthispaperwepresentaframeworkfordevelopingLagrangeanhe
2、uristics(heuristicsbaseduponLagrangeanrelaxationandsubgradientoptimisation)withrespecttolocationproblems.Computa-tionalresultsaregivenforfourdifferentlocationproblems:p-median,uncapacitatedwarehouselocation,capacitatedwarehouselocationandcapacitatedwarehouselocationwithsinglesourcecon-straints.The
3、seresultsindicatethattheframeworkpresentedinthispaperisrobust,i.e.itgivesgoodqualitysolutionsforeachofthesedifferentlocationproblems.Keywords:Lagrangeanheuristic;LocationI.IntroductionAlowerboundfortheaboveprogramcanbefoundbyintroducingaLagrangemultiplierma-Itiswell-knownthatinrecentyearsapopulart
4、rixs(>0)for(2)togettheLagrangeanlowertechniquefortheoptimalsolutionofstructuredboundprogram(LLBP)givenby:pure(ormixed)zero-oneintegerprogramshasbeentheuseoftreesearchprocedureswithminimise(c-sA)x+sb(4)boundstocurtailthesearchbeingfoundviasubjecttox~(0,1).(5)Lagrangeanrelaxationandsubgradientoptimi
5、sa-ItisclearthatLLBPcanbeeasilysolvedtotion(e.g.seeFisher[26,27]).giveasolutionXwithacorrespondinglowerLagrangeanrelaxationandsubgradientoptimi-boundgivenby(c-sA)X+sb.Applyingsubgra-sationcanalsobeusedhowever,inaverysimilardientoptimisation(aniterativeprocedure)gener-manner,toproduceeffectiveheuri
6、sticalgorithmsatesasequenceofLagrangemultipliersinan(lagrangeanheuristics).attempttomaximisethelowerboundobtainedInordertoillustratetheconceptofaLa-fromLLBP.grangeanheuristicconsiderthefollowinggeneralThebasicideabehindaLagrangeanheuristiczero-oneintegerprogram(expressedinmatrixisthattheinformatio
7、ncontainedinLLBPatnotation):eachsubgradientiterationcanbeusedinanminimisecx(1)attempttoconstructafeasiblesolutiontothesubjecttoAx>b,(2)originalproblem(equations(1)-(3)above).Forexample,thesolutionXtoLLBPmayx~(0,a
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