| 均匀搜索粒子群算法 |
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| 引用本文： | 吴晓军,杨战中,赵明.均匀搜索粒子群算法[J].电子学报,2011,39(6):1261-1266. |
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| 作者姓名： | 吴晓军 杨战中 赵明 |
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| 作者单位： | 1. 陕西师范大学计算机科学学院,陕西西安 710062;2. 西北工业大学自动化学院,陕西西安 710072 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目(No.GK201002005); 陕西省工业攻关计划(No.2009K09-21); 西安市科技创新支撑计划(No.CXY1016-2) |
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| 摘 要： | 针对基本粒子群优化算法容易陷入局部最优解的问题,本文定义了PSO粒子搜索中心的概念,并对其随机状态下粒子搜索中心在全局最优解与局部最优解之间的概率密度进行了计算,在此基础上提出了粒子搜索中心在两个最优解之间均匀分布的均匀搜索粒子群算法,并通过7个Benchmark函数与基本PSO算法进行了对比实验及算法分析,实验分析结...
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| 关 键 词： | 粒子群算法 优化算法 均匀搜索 |
| 收稿时间： | 2010-12-07 |
A Uniform Searching Particle Swarm Optimization Algorithm |
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| WU Xiao-jun,YANG Zhan-zhong,ZHAO Ming.A Uniform Searching Particle Swarm Optimization Algorithm[J].Acta Electronica Sinica,2011,39(6):1261-1266. |
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| Authors: | WU Xiao-jun YANG Zhan-zhong ZHAO Ming |
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| Affiliation: | 1. School of Computer Science,Shaanxi Normal University,Xi’an,Shaanxi 710062,China;2. College of Automation,Northwestern Polytechnical University,Xi’an,Shaanxi 710072,China |
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| Abstract: | It is well known that the Particle Swarm Optimization(PSO) algorithm easily falls into the local optimal solution.In this paper,we defined a concept of PSO particle-search center,and analyzed the probability density of the center between global and local optimal solutions in random state.A uniform searching particle swarm optimization(UPSO) algorithm whose particle-search center uniformly distributed between local and global optimal solutions is proposed based on that analysis.By analyzing the comparative e... |
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| Keywords: | particle swarm optimization optimization algorithm uniform search |
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