• DocumentCode
    3399434
  • Title

    Chemical genetic programming - evolution of amino acid rewriting rules used for genotype-phenotype translation

  • Author

    Piaseczny, Wojciech ; Suzuki, Hideaki ; Sawai, Hidefumi

  • Author_Institution
    ATR Human Inf. Sci. Labs, Kyoto, Japan
  • Volume
    2
  • fYear
    2004
  • fDate
    19-23 June 2004
  • Firstpage
    1639
  • Abstract
    A new method of genetic programming, named chemical genetic programming (CGP), which enables evolutionary optimization of the mapping from genotypic strings to phenotypic trees is proposed. A cell is evolved, and includes a DNA string that codes genetic information and smaller molecules for the mapping from DNA code to computational functionality. Genetic modification of a cell´s DNA allows the DNA code and the genotype-to-phenotype translation to coevolve. Building an optimal translation table enhances evolution within a population while maintaining the necessary diversity to explore the entire search space.
  • Keywords
    DNA; biology computing; genetic algorithms; genetics; proteins; rewriting systems; DNA code; DNA string; amino acid rewriting rules evolution; cell DNA; cell evolution; chemical genetic programming; evolutionary optimization; genetic information coding; genetic modification; genotype-phenotype translation; genotype-to-phenotype translation; genotypic strings; optimal translation table; phenotypic trees; search space; Amino acids; Cells (biology); Chemicals; DNA; Evolution (biology); Genetic programming; Humans; Information science; Proteins; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2004. CEC2004. Congress on
  • Print_ISBN
    0-7803-8515-2
  • Type

    conf

  • DOI
    10.1109/CEC.2004.1331092
  • Filename
    1331092