| 空间分割微粒群算法 |
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| 引用本文： | 李俊吉,崔志华,崔炎,谭瑛.空间分割微粒群算法[J].太原科技大学学报,2010,31(1):19-25. |
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| 作者姓名： | 李俊吉 崔志华 崔炎 谭瑛 |
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| 作者单位： | 太原科技大学,太原,030024 |
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| 基金项目： | 山西省自然科学基金，太原科技大学青年基金 |
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| 摘 要： | 提出了一种适用于高维数值优化问题的空间分割微粒群算法。该算法通过将整个搜索空间分割成若干子空间,在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。实验结果表明该改进微粒群算法可以有效地解决高维数值优化问题。
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| 关 键 词： | 最优点位置 高维 空间分割 |
Space-dividing Particle Swarm Optimization |
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| LI Jun-ji,CUI Zhi-hua,CUI Yan,TAN Ying.Space-dividing Particle Swarm Optimization[J].Journal of Taiyuan University of Science and Technology,2010,31(1):19-25. |
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| Authors: | LI Jun-ji CUI Zhi-hua CUI Yan TAN Ying |
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| Institution: | LI Jun-ji,CUI Zhi-hua,CUI Yan,TAN Ying(Taiyuan University of Science , Technology,Taiyuan 030024,China) |
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| Abstract: | Space division particle swarm optimization is proposed to solve the high-dimensional numerical optimization problem in this paper.The algorithm divides the whole search space into a number of sub-spaces,which are optimized by utilizing the PSO embedded zero search operators.The simulation results show that the improved PSO algorithm can solve the high-dimensional numerical optimization problem effectively. |
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| Keywords: | location of the best point high-dimension space-dividing |
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