Analyzing the Founder Effect in Simulated Evolutionary Processes Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{HreFer02,
  author =       "Candida Ferreira",
  title =        "Analyzing the Founder Effect in Simulated Evolutionary
                 Processes Using Gene Expression Programming",
  booktitle =    "Soft Computing Systems: Design, Management and
                 Applications",
  year =         "2002",
  editor =       "A. Abraham and J. Ruiz-del-Solar and M. K{\"o}ppen",
  pages =        "153--162",
  organisation = "Gepsoft",
  publisher =    "IOS Press",
  keywords =     "genetic algorithms, genetic programming, Gene
                 Expression Programming",
  ISBN =         "1-58603-297-6",
  URL =          "http://www.gene-expression-programming.com/webpapers/ferreira-his02.pdf",
  size =         "10 pages",
  abstract =     "Gene expression programming is a genotype/phenotype
                 system that evolves computer programs encoded in linear
                 chromosomes of fixed length. The interplay between
                 genotype (chromosomes) and phenotype (expression trees)
                 is made possible by the structural and functional
                 organisation of the linear chromosomes. This
                 organization allows the unconstrained operation of
                 important genetic operators such as mutation,
                 transposition, and recombination. Although simple, the
                 genotype/phenotype system of gene expression
                 programming can provide some insights into natural
                 evolutionary processes. In this work the question of
                 the initial diversity in evolving populations of
                 computer programs is addressed by analysing populations
                 undergoing either mutation or recombination. The
                 results presented here show that populations undergoing
                 mutation recover practically undisturbed from
                 evolutionary bottlenecks whereas populations undergoing
                 recombination alone depend considerably on the size of
                 the founder population and are unable to evolve
                 efficiently if subjected to really tight bottlenecks.",
}

Genetic Programming entries for Candida Ferreira

Citations