Adaptation of length in a nonstationary environment

被引:0
|
作者
Yu, H
Wu, AS
Lin, KC
Schiavone, G
机构
[1] Univ Cent Florida, Sch EECS, Orlando, FL 32816 USA
[2] Univ Cent Florida, Inst Simulat & Training, Orlando, FL 32826 USA
来源
GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT II, PROCEEDINGS | 2003年 / 2724卷
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we examine the behavior of a variable length CA in a nonstationary problem environment. Results indicate that a variable length GA is better able to adapt to changes than a fixed length GA. Closer examination of the evolutionary dynamics reveals that a variable length GA can in fact take advantage of its variable length representation to exploit good quality building blocks after a change in the problem environment.
引用
收藏
页码:1541 / 1553
页数:13
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