• DocumentCode
    3629002
  • Title

    A general modeling framework for swarms

  • Author

    Jelmer van Ast;Robert Babuska;Bart De Schutter

  • Author_Institution
    Delft Center for Systems and Control of the Delft University of Technology, Mekelweg 2, 2628 CD, The Netherlands
  • fYear
    2008
  • fDate
    6/1/2008 12:00:00 AM
  • Firstpage
    3795
  • Lastpage
    3800
  • Abstract
    Swarms are characterized by the ability to generate complex behavior from the coupling of simple individuals. While the swarm approach to distributed systems of moving agents is gradually finding a way to engineering applications, a true successful demonstration of an engineered swarm is still missing. One of the reasons for this is the gap between the complexity of the swarms studied in fundamental research and the complexity needed for the application to interesting control problems. In the majority of the research on swarm intelligent systems, the moving agents in the swarm are modeled as simple reactive agents. This model comprises too little intelligence to fully exploit the potential of swarms. In this paper, a general comprehensive swarm framework is introduced and related to the established state of the art. Such a framework is novel and it is a first and important step in the development and analysis of more complex and intelligent swarms.
  • Keywords
    "Robots","Robot sensing systems","Particle swarm optimization","Sensors","Decision making","Communication channels","Optimization"
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
  • ISSN
    1089-778X
  • Print_ISBN
    978-1-4244-1822-0
  • Electronic_ISBN
    1941-0026
  • Type

    conf

  • DOI
    10.1109/CEC.2008.4631312
  • Filename
    4631312