Adaptation of length in a nonstationary environment

    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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