Function Finding and the Creation of Numerical Constants in Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{ferreira:2002:WSC,
  author =       "C\^andida Ferreira",
  title =        "Function Finding and the Creation of Numerical
                 Constants in Gene Expression Programming",
  booktitle =    "7th Online World Conference on Soft Computing in
                 Industrial Applications",
  year =         "2002",
  month =        sep # " 23 - " # oct # " 4",
  note =         "on line",
  keywords =     "genetic algorithms, genetic programming, gene
                 expression programming",
  URL =          "http://www.gene-expression-programming.com/webpapers/Ferreira-WSC7.pdf",
  abstract =     "Gene expression programming is a genotype/phenotype
                 system that evolves computer programs of different
                 sizes and shapes (the phenotype) encoded in linear
                 chromosomes of fixed length (the geno-type). The
                 chromosomes are composed of multiple genes, each gene
                 encoding a smaller sub-program. Furthermore, the
                 structural and functional organization of the linear
                 chromosomes allows the uncon-strained operation of
                 important genetic operators such as mutation,
                 transposition, and recombination. In this work, three
                 function finding problems, including a high dimensional
                 time series prediction task, are analyzed in an attempt
                 to discuss the question of constant creation in
                 evolutionary computation by comparing two different
                 approaches to the problem of constant creation. The
                 first algorithm involves a facility to manipulate
                 random numerical constants, whereas the second finds
                 the numerical constants on its own or invents new ways
                 of representing them. The results presented here show
                 that evolutionary algorithms perform considerably worse
                 if numerical constants are explicitly used.",
  notes =        "WSC7 http://wsc7.ugr.es/",
}

Genetic Programming entries for Candida Ferreira

Citations