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
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;
Conference_Titel :
Evolutionary Computation, 2004. CEC2004. Congress on
Print_ISBN :
0-7803-8515-2
DOI :
10.1109/CEC.2004.1331092