GEP Journal Article Available On-line

From: Candida Ferreira (candidaf@gepsoft.com)
Date: Thu Dec 06 2001 - 22:21:28 MET

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    Dear all,

    The following journal article is now available online:

    Ferreira, C., (2001). Gene Expression Programming: A New Adaptive Algorithm
    for Solving Problems, Complex Systems, 13 (2): 87 - 129.

    The paper is available in PDF format at:

    http://www.gene-expression-programming.com/webpapers/gep.pdf

    ABSTRACT:

    Gene expression programming, a genotype/phenotype genetic algorithm (linear
    and ramified), is presented here for the first time as a new technique for
    the creation of computer programs. Gene expression programming uses
    character linear chromosomes composed of genes structurally organized in a
    head and a tail. The chromosomes function as a genome and are subjected to
    modification by means of mutation, transposition, root transposition, gene
    transposition, gene recombination, and one- and two-point recombination. The
    chromosomes encode expression trees which are the object of selection. The
    creation of these separate entities (genome and expression tree) with
    distinct functions allows the algorithm to perform with high efficiency that
    greatly surpasses existing adaptive techniques. The suite of problems chosen
    to illustrate the power and versatility of gene expression programming
    includes symbolic regression, sequence induction with and without constant
    creation, block stacking, cellular automata rules for the
    density-classification problem, and two problems of boolean concept
    learning: the 11-multiplexer and the GP rule problem.

    Best regards,
    Candida Ferreira

    ++++++++++++++++++++++++++++++++++++++++++
    Dr Candida Ferreira, Chief Scientist
    Gepsoft, 37 The Ridings, Bristol BS13 8NU, UK
    candidaf@gepsoft.com, tel: +44 (0) 117 907 1668
    http://www.gepsoft.com
    ++++++++++++++++++++++++++++++++++++++++++

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