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

页码：1541 / 1553

页数：13

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