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PostPosted: Sat 0:44, 20 Nov 2010    Post subject: mbt schuhe auslaufmodelle Global optimization base

Chaos-based new method for global optimization


Mixed action kinetics. Shanghai: Shanghai Far East Press, 19904JovanovicVT. KazerounianK. Usingchaostoobtainglobalsolutionsincomputationalkinematis. TransactionsoftheAE. JournalofMechanicalDesign, 1998,120 (7): 299 ~ 3045KyleKneis. Juliasetsforthesuper-Newtonmethod,mbt schuhe auslaufmodelle, 2O04 in February Chun Feng et al: Global optimization based on chaotic new method lOl6789Cauchy'Smethod,MBT schuhe Günstig, andHalley'Smethod. Choas,uggs online bestellen, 200l,tory burch, ll (2): 359 ~ 370 Xie Jin, Chen. Chaos-based rigid body guidance method for solving the Burmester points. China Mechanical Engineering, 2002, l3 (7): 608,-610MichalewiczZ. GeneticAlgorithms + DataStructuresEvolutionPrograms. NewYork: Springer-Verlag, 1996 Mengzhao Ming, Changde Gong. Mechanical optimization design techniques. Beijing: Chemical Industry Press. 2002 Chun Feng, Chen. Based on genetic algorithm kinematic chain isomorphism identification. Mechanical Engineering, 200l, 37 (1O): 27 ~ 30NEWGLoBALoPTI Ⅱ ZATIoNMETHoDBASEDoNCHAoSANDFRACIALSFengChunChengy0 (SouthwestJiaotongUniversity) Abstract: Newtonoptimizationtechniqueisanimportantoptimizationtechniqueandanonlineardiscretedynamicproc-essthatexhibitssensitivedependenceoninitialguesspoint. Thissensitivityhasafractalnature. TheJuliasetofNewtonoptimizationiterativefunctionisthesensitivearea. AmethodtofindJuliasetpointisproposed. TheJuliasetwhichistheboundariesofbasinsofattractions (optima) displaytheintricatefractalstructuresandchaosphenomena. Anovelglobaloptimi-zationmethodbasedonutilizingsensitiveffactalareastolocatetheJuliasetpointtofindallthelocaloptimaofthenonlinearoptimizationproblemsisproposed. edevelopedtechniqueusesanimportantfeatureoffractalstopreserveshapeofbasinsofattraction (optima) oninfinitelysmallscales. ThenumericalsimulationresuItsshowthatthemethodiSeffective. Keywords: ChaosFractalsJuliasetsGlobaloptimzation Author: Chun Feng, male, born in 1970, Ph.D., Associate Professor. Research interests include mechanical design and theory, intelligent optimization, evolutionary algorithms and chaotic fractal. Articles published more than 2O,ugg schuhe deutschland, the outstanding achievements of provincial and ministerial teaching third one.
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