| 离散粒子群优化算法研究现状综述 |
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| 引用本文： | 沈林成,霍霄华,牛轶峰.离散粒子群优化算法研究现状综述[J].系统工程与电子技术,2008,30(10). |
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| 作者姓名： | 沈林成 霍霄华 牛轶峰 |
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| 作者单位： | 1. 国防科学技术大学机电工程与自动化学院,湖南,长沙,410073
2. 国防科学技术大学机电工程与自动化学院,湖南,长沙,410073;空军装备研究院通信导航与指挥自动化所,北京,100085 |
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| 摘 要： | 粒子群优化算法(PSO)是一类基于群体智能的新型全局优化方法,近年来其离散化形式和方法受到广泛关注.介绍了PSO的基本原理和更新机制,论述了离散PSO算法的研究进展和应用情况,详细介绍了两种离散化策略的机理、更新方法、计算模式和特点,讨论了离散PSO的发展趋势和进一步研究方向.
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| 关 键 词： | 离散粒子群算法 组合优化问题 演化计算 群体智能 人工生命 |
Survey of discrete particle swarm optimization algorithm |
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| SHEN Lin-cheng,HUO Xiao-hua,NIU Yi-feng.Survey of discrete particle swarm optimization algorithm[J].System Engineering and Electronics,2008,30(10). |
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| Authors: | SHEN Lin-cheng HUO Xiao-hua NIU Yi-feng |
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| Abstract: | The particle swarm optimization(PSO) algorithm is a new type global searching method based on swarm intelligence.The discrete forms and discretized methods have received more attention in recent years.The basic principles and mechanisms are introduced.Various improvements and applications of discrete PSO algorithms are reviewed.The mechanisms,updating methods,calculating mode and characteristics of two different discretized strategies are presented.Some future research directions about discrete PSO are proposed. |
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| Keywords: | discrete particle swarm optimization(DPSO) combinatorial optimization problem evolutionary computation swarm intelligence artificial life |
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