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1、Seediscussions,stats,andauthorprofilesforthispublicationat:https://www.researchgate.net/publication/268998006AchaoticPSOcascadeoptimaldispatchalgorithmanditsimplementationArticleinHuazhongKejiDaxueXuebao(ZiranKexueBan)/JournalofHuazhongUniversityofScienceandTechnology(NaturalScience
2、Edition)·January2009CITATIONSREADS0954authors,including:YaoyaoHeJianzhongZhouHefeiUniversityofTechnologyHuazhongUniversityofScienceandTechnology48PUBLICATIONS407CITATIONS311PUBLICATIONS3,979CITATIONSSEEPROFILESEEPROFILESomeoftheauthorsofthispublicationarealsoworkingontheserelatedpro
3、jects:AnadaptivelyfastfuzzyfractionalorderPIDcontrolforpumpedstoragehydrounitusingimprovedgravitationalsearchalgorithmViewprojectfaultdiagnosis,patternrecognitionViewprojectAllcontentfollowingthispagewasuploadedbyYaoyaoHeon06January2015.Theuserhasrequestedenhancementofthedownloadedf
4、ile.第37卷第3期华中科技大学学报(自然科学版)Vol.37No.32009年3月J.HuazhongUniv.ofSci.&Tech.(NaturalScienceEdition)Mar.2009混沌PSO梯级优化调度算法及实现何耀耀周建中杨俊杰张勇传(华中科技大学水电与数字化工程学院,湖北武汉430074)摘要:利用切比雪夫(Chebyshev)映射在[-1,1]区间上的遍历性和随机性,提出了一种基于切比雪夫映射的新型混沌粒子群优化(CPSO)算法.该算法在粒子群算法求出的最优解附近进行混沌搜索,提高了混沌粒子群算法的全局优化能力,能有效避免算法容易陷
5、入局部最优以及解决逻辑斯谛(logistic)映射不能在负值区间进行搜索的问题.针对模型中复杂的约束条件,采用分段线性插值函数实现了对目标函数的求解,并通过对采用丰枯电价时三峡梯级水电系统长期优化调度问题的计算及与其他算法的对比,验证了该算法可解决具有复杂约束条件的工程优化问题.关键词:梯级水电系统;优化;调度;切比雪夫映射;混沌粒子群优化中图分类号:TM73;TP18文献标识码:A文章编号:167124512(2009)0320102204ChaoticPSOcascadeoptimaldispatchalgorithmandimplementHeYaoya
6、oZhouJianzhongYangJunjieZhangYongchuan(SchoolofHydropowerandInformationEngineering,HuazhongUniversityofScienceandTechnology,Wuhan430074,China)Abstract:ApplyingtheergodicityandstochasticpropertyofChebyshevmapwithintherangeof[-1,1],anovelhybridchaoticparticleswarmoptimization(CPSO)alg
7、orithmbasedonChebyshevmapisintroduced.Thisapproach,whichprocesschaoticsearchnearbytheoptimalsolutioncomputedbyPSOalgorithm,improvestheglobaloptimizationcapabilityofCPSOalgorithmtosolvetheproblemsthatparticleswarmoptimization(PSO)algorithmiseasytotrapinlocaloptimaandlogisticmapcan′ts
8、earchinthenegativer
