Symbiosis Co-evolutionary Population Topology Differential Evolution

被引:0
|
作者
Sun, Yu [1 ,2 ]
机构
[1] Guangxi Univ, Xingjian Coll Sci & Liberal Arts, Nanning, Peoples R China
[2] Guangxi Expt Ctr Informat Sci, Guilin, Peoples R China
关键词
Symbiosis; Multi-species coevolution; Population topology; Differential evolution;
D O I
10.1109/CIS.2016.128
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
DE is an evolutionary computation technique which is of simple concept and easy implementation. A number of significant modifications of DE have been proposed in recent years, including a few approaches referring to the idea of population topology of DE. The present paper proposes a novel symbiosis co-evolutionary model based on the population topology of DE, namely SCoPTDE. In the model, based on a specific topology, the population is divided into small species. The individual symbiotic evolution between and in species. The presented modification is tested on commonly used benchmark problems CEC2005 for unconstrained optimization and compared with other DE methods with different population topology. The comparisons show that SCoPTDE improves the performance of DE, offering higher solution quality and stronger robustness.
引用
收藏
页码:530 / 533
页数:4
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