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

@InProceedings{Tanev:2003:AROB,
  author =       "Ivan Tanev",
  title =        "DOM/XML-Based Portable Genetic Representation of
                 Morphology, Behavior and Communication Abilities of
                 Evolvable Agents",
  booktitle =    "Proceedings of the 8th International Symposium on
                 Artificial Life and Robotics (AROB-03)",
  year =         "2003",
  pages =        "185--188",
  keywords =     "genetic algorithms, genetic programming, XPG",
  URL =          "http://rnavi.ndl.go.jp/mokuji_html/000004184726.html",
  abstract =     "the role of genetic representation in facilitating
                 quick design of efficiently running offline learning
                 via genetic programming (GP). An approach of using the
                 widely adopted DOM/XML standard for representation of
                 genetic programs and off-the-shelf DOM-parsers with
                 build-in API for manipulating them is proposed. The
                 approach features significant reduction of time
                 consumption of usually slow software engineering of GP
                 and offers a generic way to facilitate the reduction of
                 computational effort by limitation of search space of
                 genetic programming via handling of 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 on the
                 implementation of GP for evolving social behaviour of
                 agents in predator prey pursuit problem.",
  notes =        "See also \cite{tanev:2004:ALR}",
}

Genetic Programming entries for Ivan T Tanev

Citations