期刊论文

中文

湖南城市学院学报(自然科学版)

1672-7304

2020

29

1

53-59

10.3969/j.issn.1672-7304.2020.01.0011

2016JJ4014:湖南省自然科学基金 14B033:湖南省教育厅科学研究项目 16C0301:湖南省教育厅科学研究项目

本校为第一机构

为改进差分进化（Differential Evolution,DE）算法的搜索能力,提出一种新的混沌差分进化算法（CGLSDE）﹒首先,该算法利用混沌序列替换DE参数并采用混沌全局搜索算法来改进DE的全局搜索能力;其次,CGLSDE算法还采用了单维和多维的混沌局部搜索来改进DE的局部搜索能力﹒仿真结果表明:CGLSDE算法在解决高维整数非线性规划（INLP）问题和高维混合整数非线性（MINLP）问题上,其性能要好于其它3种混沌差分进化算法﹒

To improve the search ability of differential evolution(DE), a new chaotic differential evolution algorithm(called CGLSDE) is proposed in this paper. Firstly, two methods(one is replacement of one of the parameters of DE using chaotic sequences, the other is chaotic global search) are used to improve the global search ability of DE. Secondly, in the CGLSDE, the single-dimensional and multi-dimensional chaotic local search ways are employed to enhance the local search capability of DE. The simulation results show that the CGLSDE is better than the other three chaotic differential evolution algo...