欢迎来到天天文库
浏览记录
ID:36559287
大小:2.79 MB
页数:54页
时间:2019-05-12
《智能优化排料方法研究》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、南京理工大学硕士学位论文智能优化排料方法研究姓名:韩珂申请学位级别:硕士专业:计算机应用技术指导教师:孙怀江20090601AbstractGivenasetofirregularshapes,thetwo—dimensionalirregularnestingproblemisaproblemofpackingtheshapeswithinasheetandtryingtofredthebestarrangementthatcouldmaximizetheutilizationofmaterials,an
2、dminimizethewastageofrawmaterials.TheproblemisNP.hardevenwhentheshapesandthematerialinvolvedarerectangles.Itimpactsuponawidevarietyofindustrialapplicationsandmotivatesmanyareasofresearch.Thispapergivesageneralviewoftheirregularnestingprocedurebydividingiti
3、ntoseverallayers.Thetop.1evelistheintelligentoptimalalgorithms.Theyareinchargeoftheoveralleffectofthenestingprocedurebywaysofgeneratingthebestnestingorder,rotatingangleandmirroringwayofeveryirregularshape.ThenextonewouldbetheBottom—Left-Fillheuristicalgori
4、thmwhichorganizesthenestingprocedure,puttingtheshapesontothesheetonebyoneusingBLFstrategy.Whatcomesnextarethealgorithmforjudgingwhethertheshapesintersectwitheachother,andthecomputationalgeometrymethodsforirregularpolygonssuchascalculatingarea,rotating,mirr
5、oring,andshifting.Thebottomlayeristhegeometricrepresentationmethodforirregularshapes,approximatingtheirregularshapesbyhorizontalscan-lines,andrepresentingthembysetsofintervals.W油regardtotheintelligentoptimalalgorithmsinchargeoftheoverallnestingprocess,this
6、paperselectsthegeneticalgorithm,simulatedannealingalgorithm,geneticsimulatedannealingalgorithmandparticleswarmoptimizationalgorithmtogeneratethebestnestingorder,rotatingangleandmirroringwayforeveryirregularshapes.Besides,thepaperintroducesatwo-dimensionali
7、rregularshapesnestingprocessbasedonaconcavefunctionstrategyfordecreasinginertiaweightswarmoptimizationalgorithm.Toavoidtheproblemoftrappingintolocaloptimumattheendoftheiterativeprocess,thispaperproposesanimprovedswarmoptimizationalgorithmbasedonakindofswar
8、mpositionneighborhoodmutation,andappliesittothenestingfieldwiththecombinationofthedecreasinginertiaweightstrategy.Comparewiththeothertwodecreasinginertiaweightswarmoptimizationalgorithms,thisonebringsoutahigh
此文档下载收益归作者所有