Taking ``biology'' just seriously enough: Commentary on ``On the Mapping of Genotype to Phenotype in Evolutionary Algorithms'' by Peter A. Whigham, Grant Dick, and James Maclaurin
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Foster:2017:GPEM,
-
author = "James A. Foster",
-
title = "Taking ``biology'' just seriously enough: 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 = "395--398",
-
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/s10710-017-9296-x",
-
size = "4 pages",
-
abstract = "``On the Mapping of Genotype to Phenotype in
Evolutionary Algorithms,'' by Peter A. Whigham, Grant
Dick, and James Maclaurin \cite{Whigham:2017:GPEM}, is
a welcome reminder that evolutionary computation
practitioners should be wary of taking their biological
analogies too seriously. But more importantly, it is a
reminder to practitioners to consider carefully their
representations and operators, rather than blindly
implementing a biological analogy without sufficient
attention to the constraints of software engineering.
``It works in biology, so it should work in EC'' is
poor, even lazy, software design. The primary
contribution of this paper is exactly what a commentary
should be: to (re)ignite discussions about how
biological inspiration should inform EC practice",
-
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
James A Foster
Citations