• DocumentCode
    2293344
  • Title

    The optimization of water utilization based on artificial fish-swarm algorithm

  • Author

    Gao, YuFang ; Chen, Yaodeng

  • Author_Institution
    Key Lab. of Meteorol. Disaster of Minist. of Educ., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China
  • Volume
    8
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    4415
  • Lastpage
    4419
  • Abstract
    The purpose of this paper is to present the artificial fish-swarm algorithm(AFSA) based approach with a irrigation zone water optimization allocation problem, to demonstrate the efficiency of the algorithm in handling complex mathematical problems as well as non-convex water resource management problems. In the approach, the normal artificial fish is extended to be two dimension artificial fish. In the two dimension artificial fish, each vector can express a group of tasks. By designing the behavior of two dimensions, the water allocation algorithm based on two dimension artificial swarm algorithm is put forward. The study shows that the artificial fish-swarm algorithm is not complicated to use and does not require much mathematical sophistication to understand its mechanisms. The artificial fish-swarm algorithm can be considered as an optimization tool able to provide water optimization allocation.
  • Keywords
    artificial life; optimisation; resource allocation; artificial fish-swarm algorithm; irrigation zone water optimization allocation problem; nonconvex water resource management problem; water utilization; Algorithm design and analysis; Irrigation; Marine animals; Optimization; Resource management; Water resources; artificial fish-swarm algorithm; irrigation district; water optimization allocation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583509
  • Filename
    5583509