Genetic algorithm based on multi-population evolution

doi:10.3778/j.issn.1002-8331.2010.28.017

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (28): 57-60.DOI: 10.3778/j.issn.1002-8331.2010.28.017

• 研究、探讨 • Previous Articles Next Articles

Genetic algorithm based on multi-population evolution

LV Hui¹，ZHOU Cong²，ZOU Juan²，ZHENG Jin-hua²

1.Institute of Mathematics and Computational Science，Xiangtan University，Xiangtan，Hunan 411105，China
2.Institute of Information Engineering，Xiangtan University，Xiangtan，Hunan 411105，China

Received:2009-04-14 Revised:2009-06-29 Online:2010-10-01 Published:2010-10-01
Contact: LV Hui

基于多种群进化的遗传算法

吕卉¹，周聪²，邹娟²，郑金华²

1.湘潭大学数学与计算科学学院，湖南湘潭 411105
2.湘潭大学信息工程学院，湖南湘潭 411105

通讯作者: 吕卉

Abstract

Abstract: Aiming at the problems of single population getting into premature convergence easily，a new multi-population evolutionary algorithm is proposed，using multi-threaded parallel processing methods to achieve the population evolution synchronously.The research results show that this algorithm can overcome the premature convergence effectively.Compared with the simple genetic algorithm，the new algorithm can not only converge rapidly，but also evidently improve convergence efficiency.

Key words: genetic algorithm, local convergence, multi-population, simple genetic algorithm

摘要： 针对单个种群的遗传算法容易陷入局部收敛而出现早熟的情况，提出了一种新的多种群遗传算法，用多线程并行处理的方法实现种群之间同步进化。实验证明，基于多种群的遗传算法能够有效地避免局部收敛问题，通过与简单遗传算法进行比较，所提出的新算法不仅收敛速度快，而且收敛效率高，是一种可行、有效的算法。

关键词: 遗传算法, 局部收敛, 多种群, 简单遗传算法

CLC Number:

TP18

LV Hui¹，ZHOU Cong²，ZOU Juan²，ZHENG Jin-hua². Genetic algorithm based on multi-population evolution[J]. Computer Engineering and Applications, 2010, 46(28): 57-60.

吕卉¹，周聪²，邹娟²，郑金华². 基于多种群进化的遗传算法[J]. 计算机工程与应用, 2010, 46(28): 57-60.

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Genetic algorithm based on multi-population evolution

基于多种群进化的遗传算法

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