Name
Title | ||
|---|---|---|
Chemical Genetic Programming – evolutionary optimization of the genotype-to-phenotype translation set |
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 which includes a DNA string that codes the fundamental mapping from the 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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/s10015-005-0346-8 | Artificial Life and Robotics |
Keywords | DocType | Volume |
genetic programming · coevolution · chemical reaction · rewriting rules · genotype-to-phenotype mapping,Genetic programming,Coevolution,Chemical reaction,Rewriting rules,Genotype-to-phenotype mapping | Journal | 9 |
Issue | ISSN | Citations |
4 | 1614-7456 | 0 |
PageRank | References | Authors |
0.34 | 2 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wojciech Piaseczny | 1 | 12 | 2.77 |
| Hideaki Suzuki | 2 | 58 | 12.02 |
| Hidefumi Sawai | 3 | 69 | 18.04 |