二稿混沌蜂群算法-資料下載頁
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【正文】 86正弦的迭代器 72 88 89 70 79 86 竇映射 26 92 92 25 81 86 帳篷映射 72 88 87 56 79 79 ，算法CABC2和CABC3的所有結(jié)果都比ABC算法的好.，這也在一定程度上避免了陷入局部最優(yōu)。文獻(xiàn)[1][J].計(jì)算機(jī)與現(xiàn)代化, 2010,1: 711. [2]胡中華。趙敏。基于人工蜂群算法的TSP仿真[J]。北京理工大學(xué)學(xué)報(bào)。2009年11期[3]張超群。鄭建國。王翔。蜂群算法研究綜述[J]。計(jì)算機(jī)應(yīng)用研究。2011年09期[4]王輝。改進(jìn)的蜂群算法[J]。計(jì)算機(jī)工程與設(shè)計(jì)。2011年11期 [5]畢曉君，[J]。哈爾濱工程大學(xué)學(xué)報(bào)。2012，33（1）：117123 [6]龔純,王正林.《精通MATLAB 最優(yōu)化計(jì)算》[M].北京:電子工業(yè)出版社,2009.[7]Kennedy J,Eberhart Swarm Optimization[C]//Proceedings of IEEE International Conference on Neural Networks, Perth, Australia,1995:1942 1948.[8]Zhu Guopu,Sam artificial bee colony algorithm for numerical function optimization[J].Applied Mathematics and Computation,2010,217:31663173. [9]Karaboga D,Basturk bee colony (ABC)optimization algorithm for solving constrained optimization : Advances in Soft ComputingFoundations of Fuzzy Logic and Soft Computing, SpringerVerlag, 2007, , pp: 789–798 [10] Singh A. An artificial bee colony algorithm for theleafconstrained minimum spanning tree problem[J].Applied Soft Computing, 2009, 9: 625–631.[11] Rao R S,Narasimham S,Ramalingaraju of distribution network configuration for loss reduction using artificial bee colony algorithm[J].International Journal of Electrical Power and Energy Systems Engineering (IJEPESE), 2008, 1: 116–122.[12] Pawar P, Rao R, Davim J. Optimization of process parameters of milling process using particle swarm optimization andartificial bee colony algorithm[C]//International Conference on Advances in Mechanical Engineering, 2008.
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