Inserting introns improves genetic algorithm success rate: Taking a cue from biology
| Author(s) : | James R. Levenick, |
| Publisher : | N/A |
| Publication Date : | 1991 |
| ISSN : | N/A |
| Abstract : | Molecular evolution may provide inspiration for genetic algorithm techniques. Molecular biologists have discovered non-functional sequences of DNA, called introns. This paper reports experiments demonstrating that the insertion of introns into bit strings can lead to dramatic increases in success rates of artificial evolution. 1, |