| 类电磁机制算法研究与改进 |
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| 引用本文： | 姜建国,刘永青,刘梦楠,王国林,李昉. 类电磁机制算法研究与改进[J]. 计算力学学报, 2014, 31(1): 135-140 |
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| 作者姓名： | 姜建国 刘永青 刘梦楠 王国林 李昉 |
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| 作者单位： | 西安电子科技大学 计算机学院, 西安 710071;西安电子科技大学 计算机学院, 西安 710071;西安电子科技大学 计算机学院, 西安 710071;西安电子科技大学 计算机学院, 西安 710071;西安电子科技大学 计算机学院, 西安 710071;空军工程大学 空管领航学院, 西安 710000 |
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| 基金项目： | 国家部委基础科研计划（D1120060967）资助项目. |
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| 摘 要： | 针对原算法中初始种群不均匀、局部搜索随机性强及移动公式效率低等问题，提出了一种改进的类电磁机制算法。采用随机化均匀设计方法构造初始种群，将混沌搜索与试探性移动方法相结合进行局部搜索，运用改进后的公式计算粒子之间的合力，将遗传变异思想融入移动公式来更新粒子。实验结果表明，改进后的算法具有更好的收敛效果和更高的求解精度。
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| 关 键 词： | 类电磁机制算法 随机化均匀设计 混沌搜索 试探性移动方法 遗传变异 |
| 收稿时间： | 2012-07-10 |
| 修稿时间： | 2013-02-10 |
Study on and improvement of electro-magnetism-like mechanism algorithm |
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| JIANG Jian-guo,LIU Yong-qing,LIU Meng-nan,WANG Guo-lin and LI Fang. Study on and improvement of electro-magnetism-like mechanism algorithm[J]. Chinese Journal of Computational Mechanics, 2014, 31(1): 135-140 |
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| Authors: | JIANG Jian-guo LIU Yong-qing LIU Meng-nan WANG Guo-lin LI Fang |
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| Affiliation: | School of Computer Science and Technology, Xidian University, Xi'an 710071, China;School of Computer Science and Technology, Xidian University, Xi'an 710071, China;School of Computer Science and Technology, Xidian University, Xi'an 710071, China;School of Computer Science and Technology, Xidian University, Xi'an 710071, China;School of Computer Science and Technology, Xidian University, Xi'an 710071, China;Air Control & Navigation College, Air Force Engineering University, Xi'an 710000, China |
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| Abstract: | An improved electro-magnetism-like mechanism algorithm is proposed to solve the problems of the original EM algorithm,such as non-uniform initial population,strong randomness in the phase of local search and low efficiency in the movement according to the total force.The new algorithm generates the initial population with the randomized uniform design method,improves the local search algorithm with the chaotic search method and exploratory mobile method,and calculates the total force between particles with the modified equation.Besides,the idea of heredity and variation is used to update the locations of those particles.Experimental results show that the improved algorithm has a better convergence effect and higher solution accuracy. |
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| Keywords: | electro-magnetism-like mechanism algorithm randomized uniform design chaos search exploratory mobile method heredity and variation |
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