Evolving Defence Strategies by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4340

  author =       "David Jackson",
  editor =       "Maarten Keijzer and Andrea Tettamanzi and 
                 Pierre Collet and Jano I. {van Hemert} and Marco Tomassini",
  title =        "Evolving Defence Strategies by Genetic Programming",
  booktitle =    "Proceedings of the 8th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "3447",
  year =         "2005",
  address =      "Lausanne, Switzerland",
  month =        "30 " # mar # " - 1 " # apr,
  organisation = "EvoNet",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-25436-6",
  pages =        "281--290",
  DOI =          "doi:10.1007/b107383",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  abstract =     "Computer games and simulations are commonly used as a
                 basis for analysing and developing battlefield
                 strategies. Such strategies are usually programmed
                 explicitly, but it is also possible to generate them
                 automatically via the use of evolutionary programming
                 techniques. We focus in particular on the use of
                 genetic programming to evolve strategies for a single
                 defender facing multiple simultaneous attacks. By
                 expressing the problem domain in the form of a {"}Space
                 Invaders{"} game, we show that it is possible to evolve
                 winning strategies for an increasingly complex sequence
                 of scenarios.",
  notes =        "Part of \cite{keijzer:2005:GP} EuroGP'2005 held in
                 conjunction with EvoCOP2005 and EvoWorkshops2005",

Genetic Programming entries for David Jackson