• DocumentCode
    71306
  • Title

    Particle swarm against market-based optimisation for obstacle avoidance

  • Author

    Palm, R. ; Bouguerra, Abdelbaki

  • Author_Institution
    AASS, Orebro University, SE-70182 Orebro, Sweden
  • Volume
    49
  • Issue
    22
  • fYear
    2013
  • fDate
    Oct. 24 2013
  • Firstpage
    1378
  • Lastpage
    1379
  • Abstract
    A comparison of particle swarm optimisation (PSO) and market-based optimisation (MBO) is presented when applied to obstacle avoidance by mobile robots using artificial potential fields and special traffic rules. Most notably, PSO and MBO are applied to optimise the motion of mobile robots when acting in a common confined workspace. Simulation results show that both methods perform equally well with slight advantage for PSO.
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.2663
  • Filename
    6649521
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=71306