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

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@Article{Ekart:2017:GPEM,
  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}.",
}

Genetic Programming entries for Aniko Ekart Peter R Lewis

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