• DocumentCode
    2135644
  • Title

    An improved differential evolution algorithm based on the Sector Window Floating Zoom Immune Random Search operator

  • Author

    Shaohua Hu ; Sheng Zhong

  • Author_Institution
    Nanchang Branch, Jiangxi Radio & TV Univ., Nanchang, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    392
  • Lastpage
    396
  • Abstract
    In this paper, an improved differential evolution(DE) algorithm is proposed. The Sector Window Floating Zoom Immune Random Search (SWFZIRS) operator has been utilized in the fitness calculation. The position of the individual of best fitness is recorded. During the selecting operation, each individual will move toward the position of best fitness individual if the new individual´s fitness is not as good as the fitness of the individual before crossover. Experiments show that the algorithm can increase the speed of convergence and increase the probability of obtaining the global optimal solution.
  • Keywords
    artificial immune systems; convergence; evolutionary computation; probability; random processes; tree searching; SWFZIRS operator; convergence; fitness calculation; global optimal solution; improved differential evolution algorithm; probability; sector window floating zoom immune random search; Algorithm design and analysis; Convergence; Educational institutions; Optimization; Sociology; Statistics; Vectors; Differential evolution algorithm; Evolutionary algorithm; SWFZIRS operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818007
  • Filename
    6818007