| 一种动态调整加速因子的微粒群优化算法 |
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| 引用本文： | 林睦纲,刘芳菊,姜小奇. 一种动态调整加速因子的微粒群优化算法[J]. 数字社区&智能家居, 2009, 5(12): 9816-9818 |
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| 作者姓名： | 林睦纲 刘芳菊 姜小奇 |
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| 作者单位： | [1]衡阳师范学院计算机科学系,湖南衡阳421008 [2]南华大学计算机科学与技术学院,湖南衡阳421001 |
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| 基金项目： | 湖南省教育厅资助科研项目（07C167）;湖南省科技计划项目（2009GK3036）;湖南省自然科学基金项目（09JJ5042） |
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| 摘 要： | 提出了一种动态调整加速因子的微粒群优化算法。针对微粒群算法中不同搜索时期的微粒所需要的搜索能力不同，引入余弦函数来动态调整加速因子，平衡算法的全局和局部搜索能力。利用三个Benchmark函数进行数值试验，仿真结果表明，算法稳定，具有较好的收敛性能，
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| 关 键 词： | 群智能 微粒群优化 加速因子 |
Particle Swarm Optimization Algorithm with Dynamically Adjusting Acceleration Coefficients |
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| LIN Mu-gang,LIU Fang-ju,JIANG Xiao-qi. Particle Swarm Optimization Algorithm with Dynamically Adjusting Acceleration Coefficients[J]. Digital Community & Smart Home, 2009, 5(12): 9816-9818 |
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| Authors: | LIN Mu-gang LIU Fang-ju JIANG Xiao-qi |
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| Affiliation: | 1 .Department of Computer Science, Hengyang Normal University, Hengyang 421008, China; 2. School of Computer Science and Technology, University of South China, Hengyang 421001, China) |
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| Abstract: | Aiming at particles in different search stage needing for different search capabilities, this paper presents a particle swarm optimization algorithm dynamically adjusting acceleration coefficients based on cosine function, which improves the performance of the globe search and local search. Experiment simulations of three benchmark functions show that the proposed algorithm has powerful convergence ability, and good stability. |
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| Keywords: | swarm intelligence particle swarm optimization acceleration coefficient |
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