GPRobots and GPTeams - Competition, co-evolution and co-operation in Genetic Programming

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

@InProceedings{ryan:1995:robots,
  author =       "Conor Ryan",
  title =        "GPRobots and GPTeams - Competition, co-evolution and
                 co-operation in Genetic Programming",
  booktitle =    "Working Notes for the AAAI Symposium on Genetic
                 Programming",
  year =         "1995",
  editor =       "E. V. Siegel and J. R. Koza",
  pages =        "86--93",
  address =      "MIT, Cambridge, MA, USA",
  publisher_address = "445 Burgess Drive, Menlo Park, CA 94025, USA",
  month =        "10--12 " # nov,
  publisher =    "AAAI",
  keywords =     "genetic algorithms, genetic programming",
  broken =       "ftp://odyssey.ucc.ie/pub/genetic/robots.ps.Z",
  URL =          "http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-012.pdf",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.26.703&rep=rep1&type=pdf",
  URL =          "http://citeseer.ist.psu.edu/cache/papers/cs/211/ftp:zSzzSzodyssey.ucc.iezSzpubzSzgeneticzSzrobots.pdf/gprobots-and-gpteams-competition.pdf",
  URL =          "http://citeseer.ist.psu.edu/25312.html",
  URL =          "http://www.aaai.org/Library/Symposia/Fall/fs95-01.php",
  size =         "8 pages",
  abstract =     "This paper presents two simulations, GProbots and
                 GPTeams. GPRobots is a new, competition oriented
                 benchmark for GP, where control programs are evolved
                 for robots. These are then executed in a simulated real
                 time environment, where execution time for instructions
                 varies with instruction complexity. The competitive
                 nature of GPRobots allows the direct comparison of
                 different evolutionary approaches, using two or more
                 best-of-run individuals from various simulations.
                 GPTeams, the second simulation in this paper,
                 introduces the idea of using GP to produce event driven
                 programs, using a novel technique where a population of
                 main control programs are co-evolved with the callback
                 functions they use. The callback functions, although
                 competing against each other on an evolutionary scale,
                 co-operate in teams organised by the main program at a
                 local level. The experiments produce a wide array of
                 behaviours from individuals, from pacifist to violent,
                 from parasitic to general.",
  notes =        "AAAI-95f GP. Part of \cite{siegel:1995:aaai-fgp} {\em
                 Telephone:} 415-328-3123 {\em Fax:} 415-321-4457 {\em
                 email} info@aaai.org {\em URL:} http://www.aaai.org/",
}

Genetic Programming entries for Conor Ryan

Citations