• DocumentCode
    714223
  • Title

    Preliminary study on navigation performance optimization analysis of a new type USV and its methods

  • Author

    Jing Sheng-ping ; Ma Tian-yu ; Yang Song-lin

  • Author_Institution
    Naval Archit. & Ocean Eng., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
  • fYear
    2015
  • fDate
    3-6 May 2015
  • Firstpage
    1583
  • Lastpage
    1587
  • Abstract
    Consideration on the unmanned surface vehicle (USV) rapidity, maneuverability and anti overturning resistance, this paper creates a synthetical optimization mathematical model of the new USV navigation performance, structure of a complex algorithm, preparation of the related software. Complete a number of optimization calculations, discuss the effects of weight and different speed on the optimization goal, and compared to the optimal performance of single genetic algorithm, hierarchical genetic algorithm and genetic chaotic hierarchical algorithm. The results show that the performance index weight and speed have significant influence on the optimization goal, and hierarchical genetic algorithm optimization performance is better.
  • Keywords
    genetic algorithms; marine navigation; marine vehicles; mobile robots; USV; genetic chaotic hierarchical algorithm; hierarchical genetic algorithm optimization; navigation performance optimization; performance index weight; synthetical optimization mathematical model; unmanned surface vehicle; Algorithm design and analysis; Genetic algorithms; Indexes; Linear programming; Marine vehicles; Optimization; Resistance; complex algorithm; navigation performance; synthetical optimization; unmanned surface vehicle (USV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2015 IEEE 28th Canadian Conference on
  • Conference_Location
    Halifax, NS
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-5827-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2015.7129517
  • Filename
    7129517