• DocumentCode
    1634268
  • Title

    A memetic algorithm for optimizing high-inclination multiple gravity-assist orbits

  • Author

    Pisarevsky, Dmitry M. ; Gurfil, Pini

  • Author_Institution
    Fac. of Aerosp. Eng., Technion - Israel Inst. of Technol., Haifa
  • fYear
    2009
  • Firstpage
    86
  • Lastpage
    93
  • Abstract
    A large normal displacement relative to the ecliptic is necessary for mitigating the effect of the zodiacal dust cloud on space telescopes. In this paper, a memetic algorithm is used to optimize flyby paths using multiple gravity-assisted maneuvers near Earth (E) and Venus (V), which are used for reaching Jupiter (J), where the inclination is increased. The global search for optimal trajectories with minimal energy requirements and short transfer times to the highly-inclined destination orbit is performed using a niching genetic algorithm improved by a gradient-based local optimization. The optimization yields three candidate paths: EVEJ, EVEEJ and EVVEJ.
  • Keywords
    astronomical telescopes; genetic algorithms; gradient methods; genetic algorithm; gradient-based local optimization; high-inclination multiple gravity-assist orbits; memetic algorithm; space telescopes; zodiacal dust cloud; Brightness; Clouds; Earth; Gold; Jupiter; Observatories; Orbits; Space missions; Space technology; Telescopes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2009. CEC '09. IEEE Congress on
  • Conference_Location
    Trondheim
  • Print_ISBN
    978-1-4244-2958-5
  • Electronic_ISBN
    978-1-4244-2959-2
  • Type

    conf

  • DOI
    10.1109/CEC.2009.4982934
  • Filename
    4982934