1、江南大學(xué)碩士學(xué)位論文基于QPSO算法的二維熱傳導(dǎo)反問題的研究姓名：張宏申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：計(jì)算機(jī)應(yīng)用技術(shù)指導(dǎo)教師：須文波20070601江南人學(xué)碩l：學(xué)位論文ResearchaboutheatconductioninverseproblembasedonQuantum—BehavedParticlesSwarmOptimizationMajor：ComputerAppliedTechniqueName：ZhanghongSuperv

2、isor：ProfessorXuWenboAbstractAllkindsofheattransferencecarlbediscoveredineverydaylifeandengineeringpracticeandallofithavebeenreducedtothreetypesofheattransferenceTheyarecalledheatconductionheatconvectionandheatradiationT

3、hispaperintroducesnumericalinversionofheatconductivitycoefficientbasedoninverseproblem2DunstablefieldheatconductionResearchaboutinverseproblemofheatconductionislittlelate，therearemanyresearchmethods，butusingtraditionalme

4、thodstogetglobaloptimizationismorediffficultWewillresearchoptimizationmethodsof2DheatconductionusingclassicalParticleSwarm0ptimizationalgorithm(PSO)andQuantumBehavedParticleswarmoptimizationalgorithm(QPSO)，afterintroduci

5、ngparticleswaiTnoptimizationalgorithmAndintroducehowtooptimizeheatconductivitycoefficientdependingondirectproblemtemperaturefieldanddesignedobjectivefunctionInordertoenhanceconvergenceandstabilityofalgorithm，improvemento

6、falgorithmismadeinexperimentExperimentresultindicatethatclassicalParticleSwarmOptimizationalgorithmandQuantum—BehavedParticleSwarmOptimizationalgorithmaresuitableforsolutionofinverseproblemofheatconductionthatQuantum—Beh

7、avedParticleswarmoptimizationalgorithmismoresuperiortoinverseproblemofheatconductionthanclassicalParticleSwarmOptimizationalgorithmAtlast，wemakeacomparebetweenresultsgotfrommethodusingQPSOandGA(GeneticAlgorithm)，becauseG

8、AhavebeenusedinthefieldsItshowsQuantum—BehavedParticleswalTnoptimizationalgorithmhaspracticalvalueinfieldofinverseproblemofheatconductionParallelcomputationiSusedtoresearchinverseproblemofheatconductionbecauseithasabigqu