Learning and memory in genetic programming

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

@PhdThesis{Bearpark:thesis,
  author =       "Keith Bearpark",
  title =        "Learning and memory in genetic programming",
  school =       "School of Engineering Sciences, University of
                 Southampton",
  year =         "2000",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://eprints.soton.ac.uk/45930/",
  URL =          "http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327359",
  abstract =     "Genetic Programming is a form of Evolutionary
                 Computation in which computer programs are evolved by
                 methods based on simulating the natural evolution of
                 biological species. A new generation of a species
                 acquires the characteristics of previous generations
                 through the inheritance of genes by sexual reproduction
                 and through random changes in alleles by random
                 mutation. The new generation may enhance its ability to
                 survive by the acquisition of cultural knowledge
                 through learning processes.

                 This thesis combines the transfer of knowledge by
                 genetic means with the transfer of knowledge by
                 cultural means. In particular, it introduces a new
                 evolutionary operator, memory operator. In conventional
                 genetic programming systems, a new generation is formed
                 from a mating pool whose members are selected from the
                 fittest members of previous generation. The new
                 generation is produced by the exchange of genes between
                 members of the mating pool and the random replacement
                 of genes in the offspring. The new generation may or
                 may not be able to survive better than its predecessor
                 in a given environment.

                 The memory operator augments the evolutionary process
                 by inserting into new chromosomes genetic material
                 known to often result in fitness improvements. This
                 material is acquired through a learning process in
                 which the system is required to evolve generations that
                 survive in a less demanding environment. The cultural
                 knowledge acquired in this learning process is applied
                 as an intelligent form of mutation to aid survival in a
                 more demanding environment.",
  notes =        "uk.bl.ethos.327359",
}

Genetic Programming entries for Keith Bearpark

Citations