• DocumentCode
    2102033
  • Title

    An Improved Artificial Fish Swarm Algorithm for Resource Leveling

  • Author

    Tian, WenJie ; Tian, Yue

  • Author_Institution
    Autom. Inst., Beijing Union Univ., Beijing, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper provides an overview on the artificial fish swarm algorithm (AFSA) for the resource leveling. Some improved adaptive methods about step length are proposed in the AFSA. This method have better performances such as good and fast global convergence, strong robustness, insensitive to initial values, simplicity of implementation. The simulation results show that the resource leveling based on AFSA avoids premature effectively and prove its feasibility.
  • Keywords
    convergence; optimisation; resource allocation; artificial fish swarm algorithm; global convergence; local optimization; resource leveling; Ant colony optimization; Automation; Convergence; Finance; Forward contracts; Marine animals; Particle swarm optimization; Robustness; Signal processing algorithms; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5302122
  • Filename
    5302122
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2102033