• DocumentCode
    518668
  • Title

    Optimized design of responsive reconnaissance satellite constellation with hierarchical genetic algorithm

  • Author

    Wu, Yu-Fei ; Liao, Yu-Rong ; Wang, Dan

  • Author_Institution
    Acad. of Equip. Command & Technol., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    148
  • Lastpage
    152
  • Abstract
    The mission requirements are analyzed and the optimization model of responsive satellite constellation design which can simultaneously optimize constellation structure and orbit parameters is built. As the number of variables involved in the model is large, classical genetic algorithms will have difficulty in obtaining satisfying results in acceptable time. The hierarchical genetic algorithm is designed to resolve the optimization model. The mutation operators and the crossover operators of the ground layer genetic algorithm are modified. The model and algorithms are validated through a numerical example.
  • Keywords
    genetic algorithms; satellite communication; hierarchical genetic algorithm; mission requirements; optimization model; optimized design; responsive reconnaissance satellite constellation; Algorithm design and analysis; Artificial satellites; Collision avoidance; Cost function; Design optimization; Genetic algorithms; Land vehicles; Reconnaissance; Road vehicles; Satellite constellations; arithmetic operators; genetic algorithm; satellite constellation optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5486761
  • Filename
    5486761