• DocumentCode
    3660406
  • Title

    Study of programmed cell death algorithm and its application

  • Author

    Yongle Song;Zuojun Liu;Ling Qi;Huijie Wang

  • Author_Institution
    School of Control Science and Engineering, Hebei University of Technology, Tianjin, China
  • fYear
    2015
  • Firstpage
    2356
  • Lastpage
    2361
  • Abstract
    The study on the programmed cell death shows that the death of cells is controlled by genes. Based on this theory, an evolutionary algorithm is simulated by introducing control genes operators in the genetic algorithm to optima the traditional genetic algorithm. Markov chain is used to analyze the convergence of programmed cell death algorithm. It can be proved that this new algorithm can converge to the global optimal solution. At the same time, some sub-optima solutions could also be obtained. And the algorithm is applied to solve the maximum value of the function, in which the feasibility and advantages of the algorithm is verified.
  • Keywords
    "Convergence","Genetic algorithms","Markov processes","Sociology","Statistics","Biological cells","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation, 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICInfA.2015.7279680
  • Filename
    7279680