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ID:34789920
大小:2.38 MB
页数:76页
时间:2019-03-10
《the modeling and optimization of chemical processes using gene expression programming》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、武汉理工大学硕士学位论文TheModelingAndOptimizationOfChemicalProcessesUsingGeneExpressionProgramming姓名:MOHAMEDHASSANSAIDOMAR申请学位级别:硕士专业:化学工程指导教师:鄢烈祥20091201AbstractGeneexpressionprogramming(GEP)isallevolutionaryalgorithmthatcombinesthecharacteristicsofgeneticalgorithmandgeneticprogrammingbyincorporatinggenotYPe
2、andphenotyperepresentationsinitschromosome.Althoughmanymethods喇8tformodelingandoptimization,nonecanbeconsidereduniversal,hencetherelSaneverend-ingsearchforalgorithmsandmethodsthatcanbeappliedinchemicalprocessmodellngandoptimization.ThemajnaimofthisthesisistoexplorethepossibilityofapplyingGEPtochemi
3、calpro-ce8smodelingandoptimization.Havingbeeninventedintherecentpast,thereISaneedtoinvestigateitsapplicabilitytovariousfields.Thisthesispresentspracticalexamplesofsteady-statemodelingofstyrene-butadienerubber(SBR)formulation,concretemⅨfo瑚ulationandanethylbenzenedehydrogenationreactorusingGEP·Italso
4、presentsre8ult8obtainedfromtheglobaloptimizationofbenchmarkproblems(bothNLPandMINLP).InbothcasestheresultsobtainedshowthatGEPcanalsobeappliedtochemicalprocessmodelingandoptimization.ListofFigures2.1Generalevolutionarycomputationprocess...................52.2AGPindividualwithamaximumdepthof5generate
5、dusingthegrowmethod......................................93.1AlinearGEPindividualshowingtheheadandthetail...........133.2ExampleofaGEPindividualgeneshowingthegenotypeandthephenotype143.3Anindividualundergoingtwopointmutation.................173.4Anindividualundergoinginversion......................
6、183.5Anindividualundergoing俗transposition..................194.1ExpressingofageneforGEPoptimizationwithRNC...........254.2Tworeactorselectionproblem.........................375.1ActualandPredictedvaluesfortheEthylbenzenedehydrogenationreac-torexperiment............’......................455.2Fitnes
7、strendsfortheEthylbenzenedehydrogenationreactorexperiment.465.3TheevolutionprocessforProblem8ofNLPOptimization.........475.4TheevolutionprocessforProblem9ofMINLPOptimization........48Listof乃bles2.1Analogybe
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