• DocumentCode
    3467036
  • Title

    Power-law fitness function scaling in the evolutionary method of path planning

  • Author

    Kolendo, P. ; Jaworski, B. ; Smierzchalski, Roman

  • Author_Institution
    Fac. of Electr. & Control Eng., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2011
  • fDate
    22-25 Aug. 2011
  • Firstpage
    413
  • Lastpage
    420
  • Abstract
    The main goal of the present paper is to discuss the application of the power-law fitness function scaling in the evolutionary method of path planning and its impact on the quality of final solution and the computation time necessary to solve the problem with the described scaling applied. In this paper we use the navigation problem of avoiding collision at sea for testing ground. A wide range of marine collision situations was provided to reveal advantages of power-law scaling application. The performed investigations have shown that the use of power-law scaling in the evolutionary path planning method preserves the diversity of solutions by a larger number of generations in the exploration phase. Results were also compared with a previous research that was performed using linear scaling.
  • Keywords
    collision avoidance; computational complexity; evolutionary computation; mobile robots; collision avoidance; computation time; evolutionary method; linear scaling; marine collision situations; mobile robots; navigation problem; path planning; power-law fitness function scaling; Convergence; Marine vehicles; Navigation; Safety; Testing; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4577-0912-8
  • Type

    conf

  • DOI
    10.1109/MMAR.2011.6031383
  • Filename
    6031383