• DocumentCode
    2035207
  • Title

    Evolving Robocup Soccer Player formations by particle swarm optimization

  • Author

    Okada, Hidehiko ; Wada, Tetsuya ; Yamashita, Akira

  • Author_Institution
    Grad. Sch. of Eng., Kyoto Sangyo Univ., Kyoto, Japan
  • fYear
    2011
  • fDate
    13-18 Sept. 2011
  • Firstpage
    1950
  • Lastpage
    1953
  • Abstract
    Researchers have applied evolutionary algorithms to RoboCup Soccer players/teams and evaluate the effectiveness of the algorithm in evolving good players and teams, but further investigations are required to know more about the ability of the algorithms. We report our application of particle swarm optimization (PSO) to the evolution of RoboCup Soccer player formations: how well formations for various team performances (e.g., offensive, defensive, balanced) can be automatically obtained by means of PSO.
  • Keywords
    mobile robots; multi-robot systems; particle swarm optimisation; RoboCup soccer player formations; evolutionary algorithms; particle swarm optimization; team performances; Benchmark testing; Conferences; Educational institutions; Games; Particle swarm optimization; Tuning; Particle swarm optimization; RoboCup soccer simulation league; autonomous agent; evolutionary algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2011 Proceedings of
  • Conference_Location
    Tokyo
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0714-8
  • Type

    conf

  • Filename
    6060287