• DocumentCode
    1639889
  • Title

    Inertial geometric particle swarm optimization

  • Author

    Moraglio, Alberto ; Togelius, Julian

  • Author_Institution
    Centre for Inf. & Syst., Univ. of Coimbra, Coimbra
  • fYear
    2009
  • Firstpage
    1973
  • Lastpage
    1980
  • Abstract
    Geometric particle swarm optimization (GPSO) is a recently introduced formal generalization of a simplified form of traditional particle swarm optimization (PSO) without the inertia term that applies naturally to both continuous and combinatorial spaces. In this paper, we propose an extension of GPSO, the inertial GPSO (IGPSO), that generalizes the traditional PSO endowed with the full equation of motion of particles to generic search spaces. We then formally derive the specific IGPSO for the Hamming space associated with binary strings and present experimental results for this new algorithm.
  • Keywords
    computational geometry; particle swarm optimisation; Hamming space; binary string; generic search space; inertial geometric particle swarm optimization; Equations; Euclidean distance; Evolutionary computation; Extraterrestrial measurements; Geometry; Hamming distance; Helium; Particle swarm optimization; Shape; Stochastic processes;
  • 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.2009.4983182
  • Filename
    4983182