Abstract
This comment refers to the article available at doi:10.1007/s10710-017-9288-x. 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. 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.
| Original language | English |
|---|---|
| Journal | Genetic Programming and Evolvable Machines |
| Volume | in press |
| Early online date | 24 Feb 2017 |
| DOIs |
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| Publication status | E-pub ahead of print - 24 Feb 2017 |
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Bibliographical note
© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.Keywords
- genotype–phenotype mapping
- practical guidelines for GP representation design
- representation
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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. / Ekárt, Anikó; Lewis, Peter R.
In: Genetic Programming and Evolvable Machines, Vol. in press, 24.02.2017.Research output: Contribution to journal › Comment/debate
TY - JOUR
T1 - Genotype–phenotype mapping implications for genetic programming representation
T2 - commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin
AU - Ekárt, Anikó
AU - Lewis, Peter R.
N1 - © The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
PY - 2017/2/24
Y1 - 2017/2/24
N2 - This comment refers to the article available at doi:10.1007/s10710-017-9288-x. 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. 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.
AB - This comment refers to the article available at doi:10.1007/s10710-017-9288-x. 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. 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.
KW - genotype–phenotype mapping
KW - practical guidelines for GP representation design
KW - representation
UR - http://link.springer.com/article/10.1007%2Fs10710-017-9291-2
UR - http://www.scopus.com/inward/record.url?scp=85013850428&partnerID=8YFLogxK
U2 - 10.1007/s10710-017-9291-2
DO - 10.1007/s10710-017-9291-2
M3 - Comment/debate
AN - SCOPUS:85013850428
VL - in press
JO - Genetic Programming and Evolvable Machines
JF - Genetic Programming and Evolvable Machines
SN - 1389-2576
ER -