| 一种非对称互联型粒子群算法 |
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| 引用本文： | 方峻,唐普英,任诚.一种非对称互联型粒子群算法[J].计算机工程与应用,2006,42(32):48-50,71. |
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| 作者姓名： | 方峻 唐普英 任诚 |
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| 作者单位： | 电子科技大学,光电信息学院,成都,610054 |
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| 摘 要： | 提出了一种非对称互联型粒子群算法(AFIPSO),它是对互联型粒子群算法的改进。此算法重新构造了加权函数,体现了粒子之间的非对称影响。随后对六种加权函数及其4种交叉组合进行了测试。试验结果表明:组合加权函数对算法的收敛速度和稳定性均有非常好的改善,在收敛率上几近完美。
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| 关 键 词： | 非对称影响 互联型粒子群算法 组合加权函数 |
| 文章编号： | 1002-8331（2006）32-0048-03 |
| 收稿时间： | 2006-02-01 |
| 修稿时间： | 2006-02-01 |
Asymmetric Fully Imformed Particle Swarm Optimization |
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| FANG Jun,TANG Pu-ying,REN Cheng.Asymmetric Fully Imformed Particle Swarm Optimization[J].Computer Engineering and Applications,2006,42(32):48-50,71. |
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| Authors: | FANG Jun TANG Pu-ying REN Cheng |
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| Affiliation: | School of Opto-electronic Information,University of Electronic Science and Technology, Chengdu 610054,China |
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| Abstract: | A new algorithm,called Asymmetric Fully Informed Particle Swarm Optimization(AFIPSO),is given.It mends the way of FIPSO by newly constructing weighting functions,which are the embodiment of asymmetric influence between two particles.Then six weighting functions and their four cross combinations are tested.The simulation results have shown that the algorithm performance for applying the cross combinations of weighting functions is far better,faster and more stabile in convergence,especially with perfect convergence ratio. |
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| Keywords: | asymmetric influence FIPSO combinatorial weighting functions |
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