• DocumentCode
    2660300
  • Title

    Notice of Retraction
    Cockroach Swarm Optimization

  • Author

    Chen ZhaoHui ; Tang HaiYan

  • Author_Institution
    Dept. of Math. & Phys., Chongqing Univ. of Sci. & Technol., Chongqing, China
  • Volume
    6
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    This paper presents a new bionic algorithm, entitled Cockroach Swarm Optimization (CSO), that is inspired by the social behavior of cockroaches. We construct some models by imitating the foraging behaviors of cockroach, and describe the steps of CSO. Simulation results illustrate that CSO has stronger convergence performance and highly-accuracy optimization results compares with Particle Swarm Optimization (PSO), Chaotic Particle Swarm Optimization (CPSO) and Artificial Fish-swarm Algorithm (AFSA).
  • Keywords
    particle swarm optimisation; CSO; artificial fish-swarm algorithm; bionic algorithm; chaotic particle swarm optimization; cockroach swarm optimization; foraging behaviors; high accuracy optimization; Ant colony optimization; Biological processes; Chaos; Clustering algorithms; Computational biology; Evolution (biology); Genetic algorithms; Mathematics; Particle swarm optimization; Physics; Artificial Fish-swarm Algorithm; Chaotic Particle Swarm Optimization; Cockroach Swarm Optimization; Global Optimization; Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-6347-3
  • Type

    conf

  • DOI
    10.1109/ICCET.2010.5485993
  • Filename
    5485993