Winnowing wheat from Chaff: The chunking GA

    Authors

    H. Stringer;A. S. Wu

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Keywords

    Computer Science, Theory & Methods

    Abstract

    In this work, we investigate the ability of a Chunking GA (ChGA) to reduce the size of variable length chromosomes and control bloat. The ChGA consists of a standard genetic algorithm augmented by a communal building block memory system and associated memory chromosomes and operators. A new mxn MaxSum fitness function used for this work is also described. Results show that a ChGA equipped with memory capacity equal to or greater than the minimal size of an optimal solution naturally eliminates unexpressed genes.

    Journal Title

    Genetic and Evolutionary Computation Gecco 2004 , Pt 2, Proceedings

    Volume

    3103

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    198

    Last Page

    209

    WOS Identifier

    WOS:000225040600018

    ISSN

    0302-9743; 3-540-22343-6

    Share

    COinS