| 一种新型的求解约束优化问题的微粒群算法 |
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| 引用本文： | 熊鹰,周树民,祁辉.一种新型的求解约束优化问题的微粒群算法[J].广东广播电视大学学报,2006,15(3):32-34,41. |
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| 作者姓名： | 熊鹰 周树民 祁辉 |
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| 作者单位： | 武汉理工大学理学院,武汉,430070 |
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| 摘 要： | 本文提出了一种新的求解约束优化问题的微粒群算法。首先提出了三种构造初始微粒群的算法,然后给出了保证微粒在可行域内运动的混合微粒群算法。通过测试函数的对比分析,说明了该算法的有效性。
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| 关 键 词： | 微粒群算法 约束优化 可行域 |
| 文章编号： | 1008-9764（2006）03-0032-04 |
| 收稿时间： | 2006-07-19 |
| 修稿时间： | 2006-07-19 |
A New Particle Swarm Optimization for Restriction Optimization |
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| XIONG Ying,ZHOU Shu-min,QI Hui.A New Particle Swarm Optimization for Restriction Optimization[J].Journal of Guangdong Radio & Television University,2006,15(3):32-34,41. |
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| Authors: | XIONG Ying ZHOU Shu-min QI Hui |
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| Institution: | 1. School of Sciences, Wuhan University of Technology, 430070 |
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| Abstract: | This paper puts forward a particle swarm optimization for restriction optimization.It begins with the introduction of three arithmetic for constructing initial particle swarm and hybrid particle swarm optimization for particle moving in feasible region,then it shows its efficiency through comparison and analysis of test functions. |
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| Keywords: | PSO restriction optimization feasible region |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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