Title

Adaptation of length in a nonstationary environment

Authors

Authors

H. Yu; A. S. Wu; K. C. Lin;G. Schiavone

Comments

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Keywords

Computer Science, Interdisciplinary Applications; Computer Science, ; Theory & Methods

Abstract

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.

Journal Title

Genetic and Evolutionary Computation - Gecco 2003, Pt Ii, Proceedings

Volume

2724

Publication Date

1-1-2003

Document Type

Article

Language

English

First Page

1541

Last Page

1553

WOS Identifier

WOS:000185074300025

ISSN

0302-9743; 3-540-40603-4

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