• DocumentCode
    467833
  • Title

    Particle Swarm Optimization Based on Pheromone Courtship Mode

  • Author

    Lin, Jiann-Horng ; Wang, Chun-Kai

  • Author_Institution
    I-Shou Univ., Kaohsiung
  • Volume
    4
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    2274
  • Lastpage
    2279
  • Abstract
    In this paper, we tried to use pheromone courtship mode of biology to improve particle swarm optimizer. In the nature, many living thing unfold many inconceivable social behaviors and the high wisdom, for example ant´s groups, migratory bird´s moving and looking for food, the fish group in order to evade the group class effect which preying on produces and so on. These swarm intelligence make the species not to become extinct. In this paper, we tried to use other swarm intelligences which not carried before. The living beings will release pheromone while seeking a spouse, use to attract the opposite sex to near. And we tried to use this kind of mode to solve the optimization problems.
  • Keywords
    particle swarm optimisation; biology; particle swarm optimization; pheromone courtship mode; social behavior; Birds; Capacitive sensors; Cybernetics; Demand forecasting; Environmental management; Evolutionary computation; Information management; Machine learning; Marine animals; Particle swarm optimization; Particle swarm optimizer; Pheromone; Pheromone courtship mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370524
  • Filename
    4370524