| 一种速度更快的粒子群优化算法 |
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| 引用本文： | 何庆元,韩传久,莫建文,张彤.一种速度更快的粒子群优化算法[J].桂林电子科技大学学报,2007,27(1):10-13. |
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| 作者姓名： | 何庆元 韩传久 莫建文 张彤 |
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| 作者单位： | 1. 桂林电子科技大学,信息与通信学院,广西,桂林,541004
2. 桂林电子科技大学,机电工程学院,广西,桂林,541004 |
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| 摘 要： | 由于标准粒子群算法(SPSO)存在后期搜索效率太低的问题,提出了一种速度更快的粒子群优化算法(FPSO).FPSO保留了SPSO前期的全局搜索能力,但改变了SPSO算法后期的搜索策略,使其迭代次数随当前适应度值的变化而自适应改变,从而提高了SPSO算法后期的计算效率.通过实验对FPSO算法中适应度函数的设计进行了讨论,并分析了FPSO算法的应用前景.仿真结果表明,FPSO算法在单峰、多峰和带约束条件的测试函数中都有良好的效果.
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| 关 键 词： | 标准粒子群优化算法 快速粒子群优化算法 搜索效率 |
| 文章编号： | 1673-808X（2007）01-0010-04 |
| 修稿时间： | 2006-12-06 |
An improved particle swarm optimization algorithm |
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| HE Qing-yuan,HAN Chuan-jiu,MO Jian-wen,ZHANG Tong.An improved particle swarm optimization algorithm[J].Journal of Guilin Institute of Electronic Technology,2007,27(1):10-13. |
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| Authors: | HE Qing-yuan HAN Chuan-jiu MO Jian-wen ZHANG Tong |
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| Affiliation: | 1. School of Information and Communication Engineering, Guilin University of Electronic Technology, Guilin 541004, China; 2. School of Meehatronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China |
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| Abstract: | An analysis of its capacity shows that the Standard Particle Swarm Optimization(SPSO) algorithm becomes inefficient in local searching at the late searching stage.In response to this phenomenon,an improved algorithm named Fast Particle Swarm Optimization(FPSO) has been proposed. The FPSO algorithm is constructed on the basis of the SPSO algorithm with its searching approach at the late stage improved so as to enable its iteration times to self-adapt to the changing fitness value.Simulation results have confirmed that the proposed algorithm has better searching efficiency. |
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| Keywords: | SPSO algorithm FPSO algorithm searching efficiency |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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