浅析小生境遗传模拟退火算法的液压集成块布局优化

浅析小生境遗传模拟退火算法的液压集成块布局优化

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时间:2019-03-01

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1、机床与液压Dec.2012HydromechatronicsEngineeringVo1.40No.24DOI:10.3969/j.issn.1001-3881.2012.24.O11AllocationOptimizationofHydraulicManifoldBlockBasedonNichingGeneticSimulatedAnnealingAlgorithmZHANGLijie,ZHANGYanhui,LIYukunHebeiKeyLaboratoryofHeavyMachineryFluidPower

2、TransmissionandControl,YanshanUnweni@,Qinhuangdao066004,ChinaAbstract:Allocationoptimizationofhydraulicmanifoldblock(HMB)isthefoundationforoptimi.zationdesignofHMB.Thispaperestablishesamathematicalmodelofmulti.objectiveoptimiza.tionwithperformanceconstraintsac

3、cordingtothestructuralfeatureofHMBanddesigncharac.ter.Thenthemathematicalmodelwassolvedbynichinggeneticsimulatedannealingalgorithm(NGSA).TheexamplegiveninthispaperindicatesthatthelayoutoptimizationofHMBcanbewellcompletedbyNGSA,whichprovidesareferenceforallocat

4、iondesign.Keywords:hydraulicmanifoldblock,optimizationdesign,nichinggeneticsimulatedannealinga1.gorithmcreaseglobalsearchabilityandtheconvergence1.Introductionspeed[3].ThepaperpresentsahybridalgorithmcombiningGAwithSA,whichsolvesthesingleob.Optimizationdesigno

5、fHMBisacomplicatedjectiveoptimizationproblemsofintegratedblockprocess.Andspacelayoutisthebasisofhydraulicchannelsnetworkl4I.Combine(1thebasicnichewithmanifoldblockdesign.AtpresentdesignersmostlyGAandSA,ahybridalgorithmisproposed.Thisa1.dependonexperiencesandsp

6、aceimaginationorsim—gorithmcanmaintainthesolutionsdiversity.Inaddi.plytheapplicationofasinglealgorithmsuchasge—tion,itcanenhancetheconvergencespeedandtheneticalgorithm(GA)orsimulatedannealing(SA)qualityofsolutioneffectively.Nevertheless,duetotoSOlVethelayoutpr

7、oblem[1—2].Thespacelayoutthishybridalgorithmdoesnotconsidertheconstraintresultcannotguaranteetomeettheoptimalperform.rulesanddesignexperience,applicationresultsofanceindexbecauseofthediversityofallocationde.thishybridalgorithmshowthatitmaynotsatisfyac-signandt

8、hecomplexityofsolutionprocedure.tualrequirementofengineeringapplications.TothisGAshowsitsstrongglobaloptimalcharacteristicrespect,bycombiningthenichinggeneticsimulatedwhereasitscon

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