A New Approach to Calculate the Best Context of a Tree and its Application in Defining a Constructive, Context Aware Crossover for GP

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

@InProceedings{Majeed:2007:FBIT,
  author =       "H. Majeed and C. Ryan",
  title =        "A New Approach to Calculate the Best Context of a Tree
                 and its Application in Defining a Constructive, Context
                 Aware Crossover for GP",
  booktitle =    "Proceedings of the 2007 International Conference
                 Frontiers in the Convergence of Bioscience and
                 Information Technologies (FBIT 2007)",
  year =         "2007",
  pages =        "765--768",
  address =      "Jeju Island, Korea",
  month =        oct # " 11-13",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-7695-2999-8",
  DOI =          "doi:10.1109/FBIT.2007.100",
  abstract =     "Genetic programming (GP) is an evolutionary algorithm
                 that evolves computer programs. Its main recombination
                 operator is standard one point crossover which is
                 generally accepted to be one of GP's weak points, due
                 to its ignorance of the context into which genetic
                 material is placed. This work introduces a new context
                 aware recombination operator called context-aware
                 crossover. It implicitly calculates the best possible
                 context of the subtree-to- be-exchanged in the other
                 parent and places it there. It is tested on a wide
                 range of problems and found quite constructive in
                 general and quite effective on hard problems, in
                 particular. It has also shown the ability to generate
                 quite smaller trees than standard GP without effecting
                 the fitness of a population adversely.",
  notes =        "Comput. Sci. & Inf. Syst., Limerick Univ., Limerick",
}

Genetic Programming entries for Hammad Majeed Conor Ryan

Citations