• DocumentCode
    1982557
  • Title

    Research of improved immune clonal algorithms and its applications

  • Author

    Shi, Gang ; Jing, Yuanwei

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2009
  • fDate
    11-13 May 2009
  • Firstpage
    212
  • Lastpage
    215
  • Abstract
    Based on the clonal selection theory, this paper is put forward an improved immune clonal selection algorithm through the introduction of cloning operator, and used to solve the CVRP problem. The algorithm through the introduction of clonal proliferation, super mutation operators and clonal selection operators, improves the global convergence speed, and can effectively avoid prematurity. Through those operators, the variety of antibody and afinity maturation was enhanced. Experimental results showed that the algorithm has a remarkable quality of the global convergence reliability and convergence velocity, thus solving effectively the CVRP problem.
  • Keywords
    artificial immune systems; convergence; clonal proliferation; clonal selection operator; clonal selection theory; cloning operator; global convergence; immune clonal algorithm; improved immune clonal selection; mutation operators; Cloning; Computational intelligence; Convergence; Genetic mutations; Immune system; Independent component analysis; Information science; Mathematical model; Routing; Vehicles; artificial immune system; clonal selection; immune clonal algorithm; vaccine; vehicle routing problems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-3819-8
  • Electronic_ISBN
    978-1-4244-3820-4
  • Type

    conf

  • DOI
    10.1109/CIMSA.2009.5069950
  • Filename
    5069950