- author = "Aniko Ekart and Peter R. Lewis",
- title = "Genotype-phenotype mapping implications for genetic programming representation: Commentary on ``On the mapping of genotype to phenotype in evolutionary algorithms'' by {Peter A. Whigham, Grant Dick, and James Maclaurin}",
- journal = "Genetic Programming and Evolvable Machines",
- year = "2017",
- volume = "18",
- number = "3",
- pages = "369--372",
- month = sep,
- note = "Special Peer Commentary on Mapping of Genotype to Phenotype in Evolutionary Algorithms",
- keywords = "genetic algorithms, genetic programming",
- ISSN = "1389-2576",
-
DOI = "
doi:10.1007/s10710-017-9291-2",
- size = "4 pages",
- abstract = "Here we comment on the article On the mapping of genotype to phenotype in evolutionary algorithms, by Peter A. Whigham, Grant Dick, and James Maclaurin \cite{Whigham:2017:GPEM}. The article reasons about analogies from molecular biology to evolutionary algorithms and discusses conditions for biological adaptations in the context of grammatical evolution, which provide a useful perspective to GP practitioners. However, the connection of the listed implications for GP is not sufficiently convincing for the reader . Therefore this commentary will (1) examine the proposed principles one by one, challenging the authors to provide more supporting evidence where felt that this was needed, and (2) propose a methodical way to GP practitioners to apply these principles when designing GP representations.",
-
notes = "Introduction in \cite{Spector:2017:GPEM}
An author's reply to this comment is available at http://dx.doi.org/10.1007/s10710-017-9289-9 \cite{Whigham:2017:GPEM2}.
This comment refers to the article available at: http://dx.doi.org/10.1007/s10710-017-9288-x \cite{Whigham:2017:GPEM}.",
