• DocumentCode
    3600198
  • Title

    DNA coding in evolutionary computation

  • Author

    Suang, Khor Chieh ; Peng, Xiao ; Vadakkepat, Prahlad ; Lee, Tong Heng

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    1
  • fYear
    2004
  • Firstpage
    279
  • Abstract
    The parallelism in DNA computing provides great potential to solve complex problems. DNA coding methods are useful to promote the genetic algorithms´ (GAs) performance on some problems. This work compares two coding methods for the genetic algorithm. The effect of the developed coding methods on the algorithms is analyzed by application to classification problem.
  • Keywords
    biocomputing; genetic algorithms; DNA coding method; DNA computing; classification problem; evolutionary computation; genetic algorithm performance; parallelism; Algorithm design and analysis; Amino acids; Biological cells; DNA computing; Drives; Evolutionary computation; Genetic algorithms; Genetic mutations; Organisms; Parallel processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2004 IEEE Conference on
  • Print_ISBN
    0-7803-8643-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2004.1460426
  • Filename
    1460426