• DocumentCode
    2732541
  • Title

    An analysis of the search performance of a mini-population evolutionary algorithm for a robot-locomotion control problem

  • Author

    Kramer, Gregory R. ; Gallagher, John C.

  • Author_Institution
    Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
  • Volume
    3
  • fYear
    2005
  • fDate
    2-5 Sept. 2005
  • Firstpage
    2768
  • Abstract
    In this paper, the authors present a performance analysis of a mini-population evolutionary algorithm (EA) on a robot-locomotion control problem. The results indicate that the nature of the search space allows for the design of highly efficient search algorithms that could greatly outperform current hardware-amenable techniques. The authors additionally believe that these search characteristics may be inherent in many practical problems, making the results useful for the larger community.
  • Keywords
    evolutionary computation; robots; search problems; hardware-amenable technique; mini-population evolutionary algorithm; robot-locomotion control problem; search algorithm; search space; Algorithm design and analysis; Computer science; Control systems; Evolutionary computation; Hardware; Orbital robotics; Performance analysis; Remotely operated vehicles; Robot control; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2005. The 2005 IEEE Congress on
  • Print_ISBN
    0-7803-9363-5
  • Type

    conf

  • DOI
    10.1109/CEC.2005.1555042
  • Filename
    1555042