| 基于数论方法的微粒群算法 |
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| 引用本文： | 米利波,谭立伟.基于数论方法的微粒群算法[J].计算机科学,2008,35(4):149-150. |
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| 作者姓名： | 米利波 谭立伟 |
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| 作者单位： | 重庆文理学院教育技术中心,重庆,永川,402160;重庆文理学院数学与计算机科学系,重庆,永川,402168 |
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| 基金项目： | 重庆市教委资助项目
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重庆市教委资助项目 |
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| 摘 要： | 为了改进微粒群优化算法的结果,用数论网格法初始化微粒群的初始位置,对位于当前全局最优点的微粒重新初始化,最后用一种爬行算法求精微粒群寻优的结果.实验表明,改进后的算法能克服标准微粒群算法的困难,获得更好的结果.
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| 关 键 词： | 数论网格法 微粒群算法 最优化 |
Particle Swarm Optimization Based on Number-theoretic Method |
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| MI Li-Bo,TAN Li-Wei.Particle Swarm Optimization Based on Number-theoretic Method[J].Computer Science,2008,35(4):149-150. |
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| Authors: | MI Li-Bo TAN Li-Wei |
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| Affiliation: | MI Li-Bo1 TAN Li-Wei2(Center of Education Technology,Chongqing University of Arts , Sciences,Yongchuan Chongqing 402160)1 (Department of Mathematics , Computer Science,Yongchuan Chongqing 402168)2 |
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| Abstract: | An improved particle swarm optimization algorithm is proposed. Number-theoretic method is used to initialize the particles' position. The particle locates on the current global minimum is re-initialized during the algorithm. In the end the result of PSO is fined by a method named creeping algorithm. The experiments manifest that the improved algorithm can get the better results. |
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| Keywords: | Number-theoretic method Particle swarm optimization Optimizing |
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