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时间:2019-03-01
《浅析小生境遗传模拟退火算法的液压集成块布局优化》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
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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