Evolving Swarming Agents in Real Time

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "H. {Van Dyke Parunak}",
  title =        "Evolving Swarming Agents in Real Time",
  booktitle =    "Genetic Programming Theory and Practice {III}",
  year =         "2005",
  editor =       "Tina Yu and Rick L. Riolo and Bill Worzel",
  volume =       "9",
  series =       "Genetic Programming",
  chapter =      "2",
  pages =        "15--32",
  address =      "Ann Arbor",
  month =        "12-14 " # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, evolution
                 strategies, adaptiv, dynamic flies, digital pheromone,
                 pbs, applications, real-time, emergence, agents,
                 population-based search, evolution",
  ISBN =         "0-387-28110-X",
  URL =          "http://www.erim.org/~vparunak/GPTP05.pdf",
  DOI =          "doi:10.1007/0-387-28111-8_2",
  size =         "16 pages",
  abstract =     "An important application for population search methods
                 (such as particle swarm optimisation and the several
                 varieties of synthetic evolution) is the engineering
                 problem of configuring individual agents to yield
                 useful emergent behaviour. While the biological
                 antecedents of population-based search operate in real
                 time, most engineered versions run off-line. For some
                 applications, it is desirable to evolve agents as they
                 are running in the system that they support. We
                 describe two instances of such systems that we have
                 developed and highlight lessons learnt.",
  notes =        "part of \cite{yu:2005:GPTP} Published Jan 2006 after
                 the workshop",

Genetic Programming entries for H Van Dyke Parunak