Just because it works: a response to comments on “On the Mapping of Genotype to Phenotype in Evolutionary Algorithms”
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
http://link.springer.com/article/10.1007/s10710-017-9289-9/fulltext.html
Reference22 articles.
1. J.A. Foster, 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. Genet. Program. Evolvable. Mach. (2017). doi: 10.1007/s10710-017-9296-x
2. L. Altenberg, Probing the axioms of evolutionary algorithm design: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin. Genet. Program. Evolvable. Mach. (2017). doi: 10.1007/s10710-017-9290-3
3. A. Ekárt, P.R. Lewis, 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. Genet. Program. Evolvable. Mach. (2017). doi: 10.1007/s10710-017-9291-2
4. D.B. Kell, Evolutionary algorithms and synthetic biology for directed evolution: Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Peter A. Whigham, Grant Dick, and James Maclaurin. Genet. Program. Evolvable. Mach. (2017). doi: 10.1007/s10710-017-9292-1
5. M. O’Neill, M. Nicolau, Commentary on “On the mapping of genotype to phenotype in evolutionary algorithms” by Whigham, Dick and Maclaurin. Genet. Program. Evolvable. Mach. (2017). doi: 10.1007/s10710-017-9293-0
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