• DocumentCode
    2855727
  • Title

    Research on Two Stage Evolutionary Modeling Based on Gene Expression Programming

  • Author

    Huang, Li ; Ding, Lixin

  • Author_Institution
    State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Gene expression programming is presented here for two stage evolutionary modeling. It uses character linear chromosomes composed of genes which encode expression trees. This feature which is different from existing algorithms allows the algorithm to perform with high efficiency when dealing with the same problem. And then, the analysis of convergence of this algorithm is mentioned. Finally, a numeric experiment is given to verify the efficiency of this algorithm. The results show that multiple highly precise ordinary differential equations (ODEs) model can be found out, and its predict values surprisingly coincide with the exact solutions.
  • Keywords
    convergence; differential equations; genetic algorithms; linear programming; trees (mathematics); convergence analysis; expression tree encoding; gene expression programming; linear chromosomes; ordinary differential equations model; two stage evolutionary modeling; Algorithm design and analysis; Differential equations; Evolutionary computation; Gene expression; Genetic programming; Laboratories; Mathematical model; Mathematical programming; Mathematics; Random number generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365685
  • Filename
    5365685