COMPLEX NETWORKS AND EVOLUTIONARY ALGORITHMS

被引:0
|
作者
Tomsu, Lukas [1 ]
Zelinka, Ivan [1 ]
机构
[1] Tomas Bata Univ, Dept Appl Informat, Zlin 76005, Czech Republic
来源
MENDELL 2009 | 2009年
关键词
evolution strategy; differential evolution; complex networks; complex system; power law; SYSTEMS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we investigate properties of complex networks produced by a successful evolution strategy Differential Evolution (DE) Algorithm. Numerical simulations of different DE strategies are studied on a set of problems. We use the network theory to describe characteristics of these networks. Preferential attachment, which can lead to creation of scale-free networks, is present in some DE strategies. We try to identify scale-free topology in complex networks produced by these DE strategies and discuss our results.
引用
收藏
页码:55 / 61
页数:7
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