Self-adaptive mate choice: Extending the selection model in genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Rodney Fry",
  title =        "Self-adaptive mate choice: Extending the selection
                 model in genetic programming",
  school =       "University of York",
  year =         "2004",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "",
  URL =          "",
  abstract =     "This thesis documents new extensions to the selection
                 model in genetic programming, intended to be analogous
                 to the more complex behaviour of selection in natural
                 evolution. More specifically, non-random mating models
                 of negative inbreeding and negative assortative mating
                 are presented. A model of psychological evolution is
                 also presented, allowing the mating strategy to change
                 throughout the evolutionary process. This approach
                 results in a preservation of structural and nodal
                 diversity, causing slower convergence. On average, the
                 schemes provide an increase in the success rate of the
                 system. An analysis of the computational effort
                 required by each of the selection schemes is presented,
                 concluding that some of the new selection schemes are
                 viable with regard to success rate return on processor
  notes =        "


Genetic Programming entries for Rodney Fry