• DocumentCode
    3057880
  • Title

    Ship maneuvering planning using swarm intelligence

  • Author

    Escario, Jose B. ; Jimenez, Juan F. ; Giron-Sierra, Jose M.

  • Author_Institution
    Arquitectura de Comput. y Autom. Dept., Univ. Complutense, Madrid, Spain
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    This paper introduces a new possible solution to the problem of manoeuvre planning for marine vehicles. This proposal is based on the use of a new swarm algorithm called Ant Colony Extended, a new kind of ant algorithm derived from Ant Colony Optimisation. This algorithm allows to include the vehicle´s model in the planning so the solutions obtained are always feasible. This approach was tested on different manoeuvre scenarios. For all of them the algorithm was able to obtain good solutions.
  • Keywords
    optimisation; planning (artificial intelligence); remotely operated vehicles; ships; ant colony optimisation; marine vehicle; ship maneuvering planning; swarm intelligence; vehicle model; Equations; Frequency modulation; Heuristic algorithms; Marine vehicles; Mathematical model; Optimization; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS, 2011 IEEE - Spain
  • Conference_Location
    Santander
  • Print_ISBN
    978-1-4577-0086-6
  • Type

    conf

  • DOI
    10.1109/Oceans-Spain.2011.6003449
  • Filename
    6003449
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3057880