• DocumentCode
    389233
  • Title

    Study on evolutionary self-adaptation model-building

  • Author

    Li, Xiao-ou ; Feng, Huan-Qing

  • Author_Institution
    Inst. of Biomed. Eng., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    561
  • Abstract
    To overcome the difficulties and drawbacks in building the mathematics model by using the traditional methods, the genetic programming is introduced in this paper, and the model is obtained automatically. This paper presents the improved methods for the generation of the initial population and the way of the fitness measure so as to accelerate the optimization rate and convergence performance of the algorithm. The computational experiments indicate that the reformative algorithm improves the optimization efficiency and the precision of mode.
  • Keywords
    convergence of numerical methods; genetic algorithms; modelling; probability; average tree creation; constrained self-adaptation fitness; convergence; genetic programming; model-building; optimization; probability; Acceleration; Biomedical engineering; Biomedical measurements; Data analysis; Electronic mail; Genetic programming; Mathematical model; Mathematics; Optimization methods; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
  • Print_ISBN
    0-7803-7508-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2002.1174378
  • Filename
    1174378