EPMAS: Evolutionary Programming Multi-Agent Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4202

  author =       "Ana M. Peleteiro and Juan C. Burguillo and 
                 Zuzana Oplatkova and Ivan Zelinka",
  title =        "EPMAS: Evolutionary Programming Multi-Agent Systems",
  booktitle =    "24th European Conference on Modelling and Simulation,
                 ECMS 2010",
  year =         "2010",
  editor =       "Andrzej Bargiela and David Crowley",
  address =      "Kuala Lumpur, Malaysia",
  month =        jun # " 1st - 4th",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, multi-agent systems",
  isbn13 =       "978-0-9564944-0-5",
  annote =       "The Pennsylvania State University CiteSeerX Archives",
  bibsource =    "OAI-PMH server at citeseerx.ist.psu.edu",
  language =     "en",
  oai =          "oai:CiteSeerX.psu:",
  rights =       "Metadata may be used without restrictions as long as
                 the oai identifier remains attached to it.",
  URL =          "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=",
  URL =          "http://www.scs-europe.net/conf/ecms2010/2010%20accepted%20papers/abs_ECMS2010_0031.pdf",
  size =         "7 pages",
  abstract =     "Evolutionary Programming (EP) seems a promising
                 methodology to automatically find programs to solve new
                 computing challenges. The Evolutionary Programming
                 techniques use classical genetic operators (selection,
                 crossover and mutation) to automatically generate
                 programs targeted to solve computing problems or
                 specifications. Among the methodologies related with
                 Evolutionary Programming we can find Genetic
                 Programming, Analytic Programming and Grammatical
                 Evolution. In this paper we present the Evolutionary
                 Programming Multi-agent Systems (EPMAS) framework based
                 on Grammatical Evolution (GE) to evolutionary generate
                 Multi-agent systems (MAS) ad-hoc. We also present two
                 case studies in MAS scenarios for applying our EPMAS
                 frame-work: the predator-prey problem and the Iterative
                 Prisoner's Dilemma.",
  notes =        "http://www.scs-europe.net/conf/ecms2010/",

Genetic Programming entries for Ana M Peleteiro Juan C Burguillo Zuzana Oplatkova Ivan Zelinka