DOM/XML-Based Portable Genetic Representation of Morphology, Behavior and Communication Abilities of Evolvable Agents

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

@Article{tanev:2004:ALR,
  author =       "Ivan Tanev",
  title =        "DOM/XML-Based Portable Genetic Representation of
                 Morphology, Behavior and Communication Abilities of
                 Evolvable Agents",
  journal =      "Artificial Life and Robotics",
  year =         "2004",
  volume =       "8",
  number =       "1",
  pages =        "52--56",
  email =        "itanev@computer.org",
  keywords =     "genetic algorithms, genetic programming",
  ISSN =         "1433-5298",
  DOI =          "doi:10.1007/s10015-004-0288-6",
  abstract =     "This article presents the results of our work on the
                 role of genetic representation in facilitating the
                 quick design of efficiently running offline learning
                 via genetic programming (GP). An approach using the
                 widely adopted document object model/extensible mark-up
                 language (DOM/XML) standard for the representation of
                 genetic programs, and off-the-shelf DOM-parsers with
                 built-in application programming interface (API) for
                 manipulating them is proposed. This approach means a
                 significant reduction in time in the usually slow
                 software engineering of GP, and offers a generic way to
                 facilitate the reduction of computational effort by
                 limiting the search space of genetic programming by
                 handling only semantically correct genetic programs.
                 The concept is accomplished through strongly typed
                 genetic programming (STGP), in which the use of
                 W3C-recommended standard XML schema is proposed as a
                 generic way to represent and impose the grammar rules
                 in STGP. The ideas laid in the foundation of the
                 proposed approach are verified by the implementation of
                 GP in the evolving social behaviour of agents in
                 predator-prey pursuit problem",
}

Genetic Programming entries for Ivan T Tanev

Citations