• DocumentCode
    2005324
  • Title

    Evaluation for acquiring method for agents´ actions in multi-agent system using pheromone communication between agents

  • Author

    Sasaoka, Hideichi

  • Author_Institution
    Asahikawa Nat. Coll. of Technol., Asahikawa, Japan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    1430
  • Lastpage
    1434
  • Abstract
    This paper has presented acquiring method for agents´ actions using Ant Colony Optimization (ACO) in multi-agent system. ACO is one of powerful meta-heuristics algorithms and some researchers have reported the effectiveness of some applications with the algorithm [1-3]. I have developed fire brigade agents using proposed method in RoboCup rescue simulation system. The final goal of this research is an achievement of co-operations for hetero-agent in multi-agent systems. Then this research for implementation for fire brigade agents in my team is the first step of this goal.
  • Keywords
    control engineering computing; mobile robots; multi-agent systems; multi-robot systems; ACO; RoboCup rescue simulation system; agent actions; ant colony optimization; metaheuristics algorithms; multiagent system; pheromone communication; Ant Colony Optimization; Evolutionary Computation; Machine Learning; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505207
  • Filename
    6505207