Differential Evolution Algorithm Based on Hybrid Strategy
[1]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]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34
Number of periods:
2013 05
Page number:
59-62
Column:
Public date:
2013-09-10
- Title:
- Differential Evolution Algorithm Based on Hybrid Strategy
- CLC:
- TP301.6
- 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.
- References:
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Last Update:
1900-01-01