Selective Crossover Using Gene Dominance as an Adaptive Strategy for Genetic Programming

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

@MastersThesis{ChiYuenProject,
  author =       "Chi Chung Yuen",
  title =        "Selective Crossover Using Gene Dominance as an
                 Adaptive Strategy for Genetic Programming",
  school =       "University College, London",
  year =         "2004",
  type =         "MSc Intelligent Systems",
  address =      "UK",
  month =        sep,
  keywords =     "genetic algorithms, genetic programming",
  broken =       "http://www.cs.ucl.ac.uk/staff/C.Clack/myweb/docs/ChiYuenProject.pdf",
  size =         "112 pages",
  abstract =     "Since the emergence of the evolutionary computing,
                 many new natural genetic operators have been research
                 and within genetic algorithms and many new
                 recombination techniques have been proposed. There has
                 been substantially less development in Genetic
                 Programming compared with Genetic Algorithms. Koza
                 \cite{koza:gp2} stated that crossover was much more
                 influential than mutation for evolution in genetic
                 programming; suggesting that mutation was unnecessary.
                 A well known problem with crossover is that good
                 sub-trees can be destroyed by an inappropriate choice
                 of crossover point. This is otherwise known as
                 destructive crossover.

                 This thesis proposes two new crossover methods which
                 uses the idea of haploid gene dominance in genetic
                 programming. The dominance information identifies the
                 goodness of a particular node, or the sub-tree, and aid
                 to reduce destructive crossover. The new selective
                 crossover techniques will be used to test a variety of
                 optimisation problems and compared with the analysis
                 work by Vekaria [28]. Additionally, uniform crossover
                 which Poli and Langdon [22] proposed has been revised
                 and discussed.

                 The gene dominance selective crossover operator was
                 initially designed by Vekaria in 1999 who implemented
                 it for Genetic Algorithms and showed improvement in
                 performance when evaluated on certain problems. The
                 proposed operators, {"}Simple Selective Crossover{"}
                 and {"}Dominance Selective Crossover{"}, have been
                 compared and contrasted with Vekaria results on two
                 problems; an attempt has also been made to test it on a
                 more complex genetic programming problem. Satisfactory
                 results have been found.",
}

Genetic Programming entries for Chi Chung Yuen

Citations