| 三群协同粒子群优化算法 |
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| 引用本文： | 刘卓倩,顾幸生,陈国初.三群协同粒子群优化算法[J].医学教育探索,2006(7):754-757. |
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| 作者姓名： | 刘卓倩 顾幸生 陈国初 |
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| 作者单位： | 华东理工大学自动化研究所 上海200237 |
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| 摘 要： | 针对基本粒子群优化算法易陷入局部极值点、搜索精度低等缺点,提出了一种三群协同粒子群优化算法(TSC-PSO)。搜索时,如果全局极值连续若干代没有改善,粒子未找到全局最优点,就任选某个优群,将其群内粒子和差群粒子交换。仿真结果显示,对一些经典多峰值函数、非凸病态函数,TSC-PSO增强了全局搜索能力,具有比基本PSO更好的优化性能。
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| 关 键 词： | 粒子群算法 协同 优化 |
| 收稿时间： | 3/5/2006 12:00:00 AM |
Three Swarms Cooperative Particle Swarm Optimization |
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| LIU Zhuo-qian,GU Xing-sheng,CHEN Guo-chu.Three Swarms Cooperative Particle Swarm Optimization[J].Researches in Medical Education,2006(7):754-757. |
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| Authors: | LIU Zhuo-qian GU Xing-sheng CHEN Guo-chu |
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| Abstract: | In order to overcome the drawback of basic PSO,such as being subject to falling into local optimization and being poor in performance of precision,an improved PSO algorithm,three swarms(cooperative) particle swarm optimization(TSC-PSO),is proposed.Regarding to several special multimodal functions and singular non-convex functions,the results of simulation show that the TSC-PSO can strengthen the global searching ability and have better optimization performance than basic PSO. |
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| Keywords: | particle swarm optimization cooperative optimization |
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