TY - GEN
T1 - Genetic code degeneracy
T2 - 5th European Conference on Artificial Life, ECAL 1999
AU - Oei’Nll, Michael
AU - Ryan, Conor
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 1999.
PY - 1999
Y1 - 1999
N2 - Grammatical Evolution (GE) is a grammar-based GA which generates computer programs. GE has the distinction that its input is a BNF, which permits it to generate programs in any language, of arbitrary complexity. Part of the power of GE is that it is closer to natural DNA than other Evolutionary Algorithms, and thus can benefit from natural phenomena such as a separation of search and solution spaces through a genotype to phenotype mapping, and a genetic code degeneracy which can give rise to silent mutations that have no effect on the phenotype. It has previously been shown how runs of GE are competitive with GP, and in this paper we analyse the feature of genetic code degeneracy, and its implications for genotypic diversity. Results show that genetic diversity is improved as a result of degeneracy in the genetic code for the problem domains addressed here.
AB - Grammatical Evolution (GE) is a grammar-based GA which generates computer programs. GE has the distinction that its input is a BNF, which permits it to generate programs in any language, of arbitrary complexity. Part of the power of GE is that it is closer to natural DNA than other Evolutionary Algorithms, and thus can benefit from natural phenomena such as a separation of search and solution spaces through a genotype to phenotype mapping, and a genetic code degeneracy which can give rise to silent mutations that have no effect on the phenotype. It has previously been shown how runs of GE are competitive with GP, and in this paper we analyse the feature of genetic code degeneracy, and its implications for genotypic diversity. Results show that genetic diversity is improved as a result of degeneracy in the genetic code for the problem domains addressed here.
UR - http://www.scopus.com/inward/record.url?scp=35248833486&partnerID=8YFLogxK
U2 - 10.1007/3-540-48304-7_21
DO - 10.1007/3-540-48304-7_21
M3 - Conference contribution
AN - SCOPUS:35248833486
SN - 3540664521
SN - 9783540664529
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 149
EP - 153
BT - Advances in Artificial Life - 5th European Conference, ECAL 1999, Proceedings
A2 - Floreano, Dario
A2 - Nicoud, Jean-Daniel
A2 - Mondada, Francesco
PB - Springer Verlag
Y2 - 13 September 1999 through 17 September 1999
ER -