基于人工记忆原理的函数优化方法分析

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1、-------西安建筑科技大学硕士学位论文pathindifferentrangeoftime,asthisavoidsthetraditionalantcolonyalgorithmordertoimprovethealgorithmefficiencyofsearchandtheaccuracytopresetnumberofantcolonyandthenumberofiterations.Finally,thepaperapplyartificialmemoryintoparticleswarmalgo

2、rithm,andrecordingthememorystorage,updatewithsearchingbehaviorofparticleswarm.Particleswarmcanaccordingtothechangeofthememoryvalueinthememorybankstoadjustthesearchingbehaviorandupdatesthecorrespondingmemory,improvetheparticleswarmoptimizationspeed.Inthispape

3、r,threenewbuildoptimizationmodelswasanalyzedandvalidatedbyactualexamples,andgivethecorrespondingimplementationstepofalgorithms.Theexperimentsshowthedesignofthethreealgorithmsaretherationalityandeffectiveofthesealgorithmsinsolvingtheproblemsofcomplexfunctiono

4、ptimization.Inconclusion,thispapergivesafurtherstudyofthetheoryandtechnologyapplicationmodelofarticlememoryprincipleonapplicationoffunctionoptimizationproblem,andprovidestheoreticalfulcrumandsolutionsthinkingforthethoroughstudiesofmemoryprincipleonapplicatio

5、nsofthealgorithmoptimization.Keywords:artificialmemoryprinciple;antcolonyalgorithm;particleswarmalgorithm;functionoptimizationThesis:ApplicationStudy-----------万方数据-----------西安建筑科技大学硕士学位论文目录第一章绪论..............................................................

6、............................................................11.1课题研究的目的及意义.........................................................................................11.2国内外研究现状....................................................................................

7、.................21.2.1国内外研究现状分析..................................................................................21.2.2研究现状存在的问题及解决办法..............................................................31.3研究内容、目标以及解决的关键问题..........................................

8、.......................41.3.1研究内容和目标..........................................................................................41.3.2解决的关键问题.......................................................