Name
Abstract | ||
|---|---|---|
In this work we use simulated evolution to corroborate the adaptability of the natural genetic code. An adapted genetic algorithm searches for optimal hypothetical codes. The adaptability is measured as the average variation of the hydrophobicity that experiment the encoded amino acids when errors or mutations are presented in the codons of the hypothetical codes. Different types of mutations and base position mutation probabilities are considered in this study. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-73053-8_48 | IWINAC (1) |
Keywords | Field | DocType |
simulated evolution,genetic algorithms,natural genetic code,average variation,genetic algorithm search,genetic code,base position mutation probability,optimal hypothetical code,different type,hypothetical code,encoded amino acid,genetic algorithm,amino acid | Adaptability,Computer science,Genetic code,Artificial intelligence,Machine learning,Genetic algorithm,Mutation | Conference |
Volume | ISSN | Citations |
4527 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ángel Monteagudo | 1 | 28 | 4.18 |
| José Santos | 2 | 97 | 14.77 |