• DocumentCode
    2695181
  • Title

    Immune genetic programming based on register-stack structure

  • Author

    Zhang, Zeminjg ; Luo, Wenjian ; Wang, Xufa

  • Author_Institution
    Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2007
  • fDate
    25-28 Sept. 2007
  • Firstpage
    3751
  • Lastpage
    3758
  • Abstract
    Inspired by biological immune principles, a novel Immune Genetic Programming based on Register-Stack structure (rs-IGP) is proposed in this paper. In rs-IGP, an antigen represents a problem to be solved, and an antibody represents a candidate solution. A flexible and efficient antibody representation based on register-stack structure is designed for rs-IGP. Three populations are adopted in rs-IGP, i.e. the common population, the elitist population and the self set. The immune genetic operators are also developed, including clone operator, recombination operator, mutation operator, hypermutation operator, crossover operator and negative selection operator. The experimental results demonstrate that rs-IGP has better performance.
  • Keywords
    genetic algorithms; Immune antibody representation; biological immune principles; immune genetic programming; register stack structure; Biological system modeling; Cloning; Evolutionary computation; Gene expression; Genetic algorithms; Genetic mutations; Genetic programming; Problem-solving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-1339-3
  • Electronic_ISBN
    978-1-4244-1340-9
  • Type

    conf

  • DOI
    10.1109/CEC.2007.4424959
  • Filename
    4424959