• DocumentCode
    1572769
  • Title

    Collaboration of heterogenous metaheuristic agents

  • Author

    Aydin, Mehmet E.

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
  • fYear
    2010
  • Firstpage
    540
  • Lastpage
    545
  • Abstract
    Collaboration of metaheuristic agents remains as a problem, which attracts challenges to overcome in order to manage a better collaboration in problem solving methodologies. Swarm intelligences techniques have been tried as collaborating methods with good records for homogeneous metaheuristic agents. On the other hand, heterogeneous methods also attracts attention of researchers for better performance in problem solving. This paper discusses the performance of particle swarm optimisation algorithms for collaborating metaheuristic agents with consideration of homogeneity in agents.
  • Keywords
    multi-agent systems; particle swarm optimisation; problem solving; heterogenous metaheuristic agent collaboration; particle swarm optimisation algorithm; problem solving methodology; swarm intelligences technique; Collaboration; Multiagent systems; Particle swarm optimization; Problem-solving; Search problems; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management (ICDIM), 2010 Fifth International Conference on
  • Conference_Location
    Thunder Bay, ON
  • Print_ISBN
    978-1-4244-7572-8
  • Type

    conf

  • DOI
    10.1109/ICDIM.2010.5664656
  • Filename
    5664656