[1]梁静,周钦亚,瞿博阳,等.基于混合策略的差分进化算法[J].郑州大学学报(工学版),2013,34(05):59-62.[doi:10.3969/j.issn.1671-6833.2013.05.013] 　LIANG Jing,ZHOU Qin-ya,QU Bo-yang,et al.Differential Evolution Algorithm Based on Hybrid Strategy[J].Journal of Zhengzhou University (Engineering Science),2013,34(05):59-62.[doi:10.3969/j.issn.1671-6833.2013.05.013] 点击复制 基于混合策略的差分进化算法() 分享到： var jiathis_config = { data_track_clickback: true };

34卷

2013年05期

59-62

2013-09-10

文章信息/Info

Title:
Differential Evolution Algorithm Based on Hybrid Strategy

Author(s):
1.School of Electrical Engineering, Zhengzhou University , Zhengzhou 450001 , China;2. School of Electric and Information En-gineering，Zhongyuan University of ’Technology，Zhengzhou 450007，China

Keywords:

TP301.6
DOI:
10.3969/j.issn.1671-6833.2013.05.013

Abstract:
In this paper,a differential evolution algorithm based on hybrid strategy was proposed to solve thetraditional differential evolution algorithm which is easy to convergence and premature in solving high-dimen-sional problems. This algorithm divided the population into three sub-populations of different sizes and differ-ent functions according to the fitness, standard deviation of fitness and distance of particles.Each sub-popula-tion used different strategies and parameters to achieve their specific functions. It not only enhances the globalsearch ability of the population,but also increases the precision of convergence during the search process.Having tasted four classic benchmarks problems,the experiment results show that the proposed algorithm is aneffective method for different optimization problems.

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