Session:

EEC - Evolvability in Evolutionary Computation

Title:

Chemical Genetic Programming -- Optimizing the Evolutionary Translation Set

Authors:

Wojciech Piaseczny
Hideaki Suzuki
Hidefumi Sawai

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.