• DocumentCode
    2571222
  • Title

    Research of evolutionary algorithm based on programmed cell death theory

  • Author

    Zuojun, Liu ; Jing, Zhao ; Peng, Yang ; Yan, Zhang

  • Author_Institution
    Sch. of Electr. Eng., Hebei Univ. of Technol., Tianjin
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    5151
  • Lastpage
    5156
  • Abstract
    Programmed cell death and genetic control theory are the novel advanced research fruits in bionomic field It states that the balance in cell birth, living and death is controlled by genes. In cells, gene ced-3 and ced-4 control the death, while the gene ced-9 protects the cell from the effect of ced-3 and ced-4. Inspired by the programmed cell death theory, which is an advanced research achievement in bionomic field, an evolutionary algorithm 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 classical genetic algorithm is optimized in such bionics way. The application in the path planning for mobile robot proves the feasibility and advantage of the optimized genetic algorithm. The research shows that the evolutionary algorithm based on programmed cell death improves the shortcoming of GA.
  • Keywords
    biocontrol; cellular biophysics; genetic algorithms; genetic engineering; genetics; bionomic field; evolutionary algorithm; gene ced-3; gene ced-4; gene ced-9; genetic algorithm; genetic control theory; man-made control genes; mobile robot; path planning; programmed cell death theory; Chaos; Control theory; Evolutionary computation; Genetic algorithms; Genetic mutations; Mobile robots; Path planning; Protection; Proteins; Springs; evolutionary algorithm; gene control; genetic algorithm; path planning; programmed cell death;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4598312
  • Filename
    4598312