• DocumentCode
    401738
  • Title

    Research of genetic algorithm based on programmed death theory

  • Author

    Liu, Zuo-jun ; Huang, Peng ; Zhang, Yan ; Xie, Mao-qiang

  • Author_Institution
    Coll. of Electr. Eng., Hebei Univ. of Technol., Tianjin, China
  • Volume
    3
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    1850
  • Abstract
    Inspired by the programmed cell death theory, which is an advanced research achievement in bionomic field, the process is simulated in the genetic algorithm by presenting man-made control genes. The gene controls the balance in alive-death of information cells. The standard genetic algorithm is optimized in such bionics way. The application and its simulation result in the path planning for mobile robot proves the feasibility and advantage of the genetic algorithm based on programmed cell death and the idea of gene control. Some improvements on genetic algorithm are so gained. However, some adjustments are still needed to do on this newly presented algorithm.
  • Keywords
    artificial life; biocybernetics; genetic algorithms; mobile robots; path planning; bionomic field; gene control; genetic algorithm; information cells; man-made control genes; mobile robot; path planning; programmed death theory; Educational institutions; Embryo; Genetic algorithms; Humans; Mobile robots; Optimal control; Path planning; Pediatrics; Process control; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259798
  • Filename
    1259798