| 动态环境中的Memetic算法 |
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| 引用本文： | 王洪峰,汪定伟,黄敏.动态环境中的Memetic算法[J].控制理论与应用,2010,27(8):1060-1068. |
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| 作者姓名： | 王洪峰 汪定伟 黄敏 |
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| 作者单位： | 东北大学,信息科学与工程学院,辽宁,沈阳,110004 |
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| 基金项目： | 国家自然科学基金资助项目(70931001, 70771021, 70671020); 国家创新研究群体科学基金资助项目(60821063); 中央高校基本科研业务费专项资金资助(N090404020); 教育部博士点新教师基金资助项目(200801451053). |
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| 摘 要： | 针对近几年在进化计算领域被广泛关注的动态优化问题,提出了一种基于粒子群优化(PSO)的Memetic算法.在一种环状拓扑结构的局部PSO模型中,利用模糊认知局域搜索策略来改善部分粒子的质量,同时引入一种自组织随机移民策略来保持算法的种群多样性.通过对一组标准动态测试问题的仿真实验,能够证明所提出的算法在动态环境中的有效性和适应能力.
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| 关 键 词： | Memetic算法 粒子群优化算法 局域搜索 动态优化问题 |
| 收稿时间： | 2009/7/25 0:00:00 |
| 修稿时间： | 2009/11/10 0:00:00 |
Memetic algorithms in dynamic environments |
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| WANG Hong-feng,WANG Ding-wei and HUANG Min.Memetic algorithms in dynamic environments[J].Control Theory & Applications,2010,27(8):1060-1068. |
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| Authors: | WANG Hong-feng WANG Ding-wei and HUANG Min |
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| Affiliation: | Institute of Systems Engineering, Information Science and Engineering School, Northeastern University,Information Science and Engineering School, Northeastern University,Information Science and Engineering School, Northeastern University |
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| Abstract: | Based on particle swarm optimization(PSO), we propose a memetic algorithm for solving dynamic optimization problems which are widely concerned from the evolutionary computation community. In this algorithm, a fuzzy cognition local search method is employed for improving the quality of individuals and a self-organized random immigrant scheme is used to further enhance the exploration capacity in a local version of PSO with a ring-shape topology structure. Experimental study over a series of dynamic test benchmark problems shows that the proposed PSO-based Memetic algorithm is robust and adaptable in the dynamic environments. |
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| Keywords: | Memetic algorithm PSO local search dynamic optimization problem |
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