• DocumentCode
    154408
  • Title

    Termination functions for evolutionary path planning algorithm

  • Author

    Kuczkowski, Lukasz ; Smierzchalski, Roman

  • Author_Institution
    Electr. & Control Eng. Dept., Gdansk Univ. of Technol., Gdansk, Poland
  • fYear
    2014
  • fDate
    2-5 Sept. 2014
  • Firstpage
    636
  • Lastpage
    640
  • Abstract
    In this paper a study of termination functions (stop criterion) for evolutionary path planning algorithm is presented. Tested algorithm is used to determine close to optimal ship paths in collision avoidance situation. For this purpose a path planning problem is defined. A specific structure of the individual path and fitness function is presented. For the simulation purposes a close to real tested environment is created. Five independent tests are performed using three stopping conditions: termination upon number of generations, population average score and population diversity. The results are compared in terms of number of generations needed to stop algorithm, calculation time and fitness function value. Undertaken research allow to select suitable parameters for studied stop criteria and conclude whether the termination function used in tests are adequate for specialized path planning evolutionary algorithm.
  • Keywords
    collision avoidance; evolutionary computation; mobile robots; ships; collision avoidance situation; evolutionary path planning algorithm; fitness function value; generation number; optimal ship paths; population average score; population diversity; stop criterion; termination functions; Evolutionary computation; Marine vehicles; Planning; Sociology; Statistics; Trajectory; evolutionary algorithm; path planning; stopping criteria; termination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Methods and Models in Automation and Robotics (MMAR), 2014 19th International Conference On
  • Conference_Location
    Miedzyzdroje
  • Print_ISBN
    978-1-4799-5082-9
  • Type

    conf

  • DOI
    10.1109/MMAR.2014.6957428
  • Filename
    6957428