• DocumentCode
    460828
  • Title

    DSWOS: Decentralized Small-World Optimization Strategy

  • Author

    Wang, Xiaohua ; Yang, Xinyan ; Jiao, Licheng

  • Author_Institution
    Inst. of Intelligent Inf. Process., Xidian Univ., Xi´´an
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    504
  • Lastpage
    509
  • Abstract
    Inspired by the decentralized searching model proposed by Kleinberg in a small-world network and based on a novel proposed description that an optimization can be described as a process where information transmitted from a candidate solution to the optimal solution in solution space of problems, where the solution space can also be regarded as a small-world network and each solution as a node in the small-world network, a new optimization strategy with small-world effects was formulated in this paper. The analysis and the simulation experiments in test problems indicated that the method achieved a fast convergence rate and obtained a good searching performance in optimization
  • Keywords
    decentralised control; optimisation; search problems; convergence rate; decentralized searching model; decentralized small-world optimization; searching performance; small-world effect; small-world network; Analytical models; Arithmetic; Convergence; Heuristic algorithms; Information processing; Intelligent networks; Lattices; Optimization methods; Performance analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294185
  • Filename
    4072138