Designing automatically a representation for grammatical evolution
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s10710-018-9327-2.pdf
Reference45 articles.
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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. 18(3), 363–367 (2017). https://doi.org/10.1007/s10710-017-9290-3
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4. A. Bartoli, A. De Lorenzo, E. Medvet, F. Tarlao, Syntactical similarity learning by means of grammatical evolution, in Parallel Problem Solving from Nature—PPSN XIV: 14th International Conference, Edinburgh, UK, September 17–21, 2016, Proceedings (Springer, Cham, 2016), pp. 260–269. https://doi.org/10.1007/978-3-319-45823-6_24
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