• DocumentCode
    605162
  • Title

    Closed Forms for the Fully-Connected Continuous Flock of Starlings Optimization Algorithm

  • Author

    Laudani, Antonino ; Fulginei, Francesco Riganti ; Salvini, Alessandro

  • Author_Institution
    Dept. of Eng., Roma Tre Univ., Rome, Italy
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    45
  • Lastpage
    50
  • Abstract
    A new typology of swarm-based algorithms which employ analytical closed-forms written in the continuum is presented. The continuous algorithms are firstly introduced by making a simple translation of the numerical swarm-based algorithms into differential equations in the time domain (state equations). The integration of these state equations by using a time windowing approach makes available functions of time that are closed-forms suitable for describing the trajectories of the swarm members for a single time-window. The whole trajectory of a swarm member is then obtained by means of the union of all the paths which have been followed by that member. The proposed continuous algorithms have been validated on famous benchmark functions and the obtained results have been compared with those coming from the corresponding numerical algorithms.
  • Keywords
    benchmark testing; differential equations; particle swarm optimisation; swarm intelligence; time-domain analysis; analytical closed-forms; benchmark functions; continuous algorithms; fully-connected continuous flock; numerical algorithms; numerical swarm-based algorithms; starling optimization algorithm; state equations; swarm members; swarm-based algorithm typology; time domain differential equations; time windowing approach; Benchmark testing; Birds; Equations; Heuristic algorithms; Optimization; Stability analysis; Trajectory; Dynamic Systems; Flock-of-Starling Optimization; Particle Swarm Optimization; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-6421-8
  • Type

    conf

  • DOI
    10.1109/UKSim.2013.25
  • Filename
    6527387