• DocumentCode
    120115
  • Title

    Underwater Penetration Path Planning Based on CHS Algorithm

  • Author

    Gang Li ; Zhenxin Liu

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    199
  • Lastpage
    203
  • Abstract
    Considering the phenomenon that Harmony Search Algorithm sometimes abandon the optimal solution in fine-tuning, this text extracted the thoughts of cooperative co evolution from the co evolution theory, and advanced the cooperation based on Harmony Memory and Collaboration harmony search algorithm (CHS), then apply it in path planning of underwater penetration. No matter in Calculation precision or in astringent accuracy, the improved CHS algorithms is better than the unmodified Harmony Search Algorithm (HS). Simulation shows the improved algorithm proposed in this paper performs excellently, and can be applied to the underwater penetration path planning problems.
  • Keywords
    path planning; underwater vehicles; CHS algorithm; astringent accuracy; calculation precision; coevolution theory; collaboration harmony search algorithm; cooperative coevolution; fine-tuning; harmony memory; underwater penetration path planning problems; unmodified harmony search algorithm; Algorithm design and analysis; Collaboration; Oceans; Optimization; Path planning; Surfaces; Underwater vehicles; Coevolution theory; Harmony Search Algorithm; path planning; underwater penetration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.44
  • Filename
    6923668