基于改进粒子群算法的流程工业生产调度方法研究与实现

《基于改进粒子群算法的流程工业生产调度方法研究与实现》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、solvingsuchproblems．PSO(ParticleSwarmOptimization)isoneofthegroupintelligentoptimizationalgorithmsproposedbyKennedyandEberhartin1995，whichhasfeaturesofversatility，independentoftheproblemofinformation,capableofgroupsearchandSOOILIthasawiderangeofapplicationssinceithasbeenproposed．11

2、lispapertriestocombinetheschedulingproblemofprocessindustry、析thPSOalgorithm．Mainworksofthispaperaresummarizedasfollows：1．SincethelocalsearchabilityofPSOisnotsatisfactory，anditssearchprecisionislowandliabletofallintolocaloptimum，animprovedparticleswarmalgorithmisproposedinthepaper．I

3、nIPSOfirst，anewcriteriahasbeensuggestedinordertojudgewhetherthepopulationswouldfallintolocaloptimization．Thatis，whentheparticlesareclusteredtogether,thecurrentoptimalSOlutioncallmakegaussmutationsothatthespeciesCanleapoutoflocaloptimum．Throughlogisticchaoticmutationduringinteractio

4、n，thediversityofpopulationismaintained,andtheglobalsearchabilityisimprovedaswell．2．Thestaticschedulingmodelwiththeintermediatestorageofcontinuousandbatchprocessofcombiningmulti--productmulti·-batchbasedonuniformtimediscriminationhasbeenestablished，whichtakesday-productionmaximizati

5、onastheobjectfunction．IPSOhasbeencarriedouttosolvesomeproblemsemerginginit．Besides，suchamodelisappliedtoapracticalproblemofion-exchangemembraneelectro—chemicalplant，analysisoftheresultshasprovediiischeduling，dynamicscheduling浙江工业大学硕士学位论文摘要第1章1．11．21．31．4第2章2．12．22．42．5第3章3．13．23．3绪

6、论目录⋯⋯⋯⋯⋯⋯⋯．．．．．⋯⋯⋯．⋯⋯⋯．．．．⋯⋯⋯⋯⋯⋯⋯．⋯⋯．．i选题目的及意义⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。l流程工业生产调度问题研究现状与进展⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯31．2．1流程工业生产调度的特点⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯31．2．2流程工业生产调度的分类⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．41．2．3流程工业生产调度方法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。41．2．4存在的问题和今后发展方向⋯⋯⋯⋯

7、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯。7粒子群算法研究应用现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．91．3．1粒子群算法的研究现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯91．3．2粒子群算法的应用现状⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯lO本文章节安排⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯lO混合变异粒子群算法⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．．12弓l言⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯

8、⋯⋯⋯⋯⋯⋯⋯⋯⋯⋯．12基本粒子群算法⋯⋯⋯⋯⋯⋯