Behavior of evolutionary algorithms in chaotically changing fitness landscapes

被引：0
|
作者：
Richter, H [1 ]
机构：
[1] HTWK Leipzig, Fachbereich Electrotech & Informationstech, Inst Mess Steuerungs & Regelungstech, D-04125 Leipzig, Germany
来源：
PARALLEL PROBLEM SOLVING FROM NATURE - PPSN VIII | 2004年 / 3242卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non-stationary fitness landscape can be characterized by quantifiers of the underlying dynamics-generating system. We give experimental results about how these quantifiers, namely the Lyapunov exponents, together with the environmental change period of the landscape influence performance measures of the evolutionary algorithm used for tracking optima.
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页码：111 / 120
页数：10
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