A Puzzle to Challenge Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4420

  title =        "A Puzzle to Challenge Genetic Programming",
  author =       "Edmund Burke and Steven Gustafson and Graham Kendall",
  editor =       "James A. Foster and Evelyne Lutton and 
                 Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
  booktitle =    "Genetic Programming, Proceedings of the 5th European
                 Conference, EuroGP 2002",
  volume =       "2278",
  series =       "LNCS",
  pages =        "238--247",
  publisher =    "Springer-Verlag",
  address =      "Kinsale, Ireland",
  publisher_address = "Berlin",
  month =        "3-5 " # apr,
  year =         "2002",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-43378-3",
  URL =          "http://www.cs.nott.ac.uk/~smg/research/publications/eurogp-2002.ps",
  URL =          "http://www.cs.nott.ac.uk/~smg/research/publications/eurogp-2002.pdf",
  DOI =          "doi:10.1007/3-540-45984-7_23",
  abstract =     "This report represents an initial investigation into
                 the use of genetic programming to solve the N-prisoners
                 puzzle. The puzzle has generated a certain level of
                 interest among the mathematical community. We believe
                 that this puzzle presents a significant challenge to
                 the field of evolutionary computation and to genetic
                 programming in particular. The overall aim is to
                 generate a solution that encodes complex decision
                 making. Our initial results demonstrate that genetic
                 programming can evolve good solutions. We compare these
                 results to engineered solutions and discuss some of the
                 implications. One of the consequences of this study is
                 that it has highlighted a number of research issues and
                 directions and challenges for the evolutionary
                 computation community.We conclude the article by
                 presenting some of these directions which range over
                 several areas of evolutionary computation, including
                 multi-objective fitness, coevolution and cooperation,
                 and problem representations.",
  notes =        "EuroGP'2002, part of \cite{lutton:2002:GP} Best

Genetic Programming entries for Edmund Burke Steven M Gustafson Graham Kendall