A Comparative Study of Different Grammar-based Genetic Programming Approaches
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Lourenco:2017:EuroGP,
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author = "Nuno Lourenco and Joaquim Ferrer and
Francisco B. Pereira and Ernesto Costa",
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title = "A Comparative Study of Different Grammar-based Genetic
Programming Approaches",
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booktitle = "EuroGP 2017: Proceedings of the 20th European
Conference on Genetic Programming",
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year = "2017",
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month = "19-21 " # apr,
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editor = "Mauro Castelli and James McDermott and
Lukas Sekanina",
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series = "LNCS",
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volume = "10196",
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publisher = "Springer Verlag",
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address = "Amsterdam",
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pages = "311--325",
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organisation = "species",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution: Poster",
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isbn13 = "978-3-319-55695-6",
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DOI = "doi:10.1007/978-3-319-55696-3_20",
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code_url = "https://github.com/nunolourenco/sge3",
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abstract = "Grammars are useful formalisms to specify constraints,
and not surprisingly, they have attracted the attention
of Evolutionary Computation (EC) researchers to enforce
problem restrictions. Context-Free-Grammar GP (CFG-GP)
established the foundations for the application of
grammars in Genetic Programming (GP), whilst
Grammatical Evolution (GE) popularised the use of these
approaches, becoming one of the most used GP variants.
However, studies have shown that GE suffers from issues
that have impact on its performance. To minimise these
issues, several extensions have been proposed, which
made the distinction between GE and CFG-GP less
noticeable. Another direction was followed by
Structured Grammatical Evolution (SGE) that maintains
the separation between genotype and phenotype from GE,
but overcomes most of its issues. Our goal is to
perform a comparative study between CFG-GP, GE and SGE
to examine their relative performance. The results show
that in most of the selected benchmarks, CFG-GP and SGE
have a similar performance, showing that SGE is a good
alternative to GE.",
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notes = "Part of \cite{Castelli:2017:GP} EuroGP'2017 held
inconjunction with EvoCOP2017, EvoMusArt2017 and
EvoApplications2017",
- }
Genetic Programming entries for
Nuno Lourenco
Joaquim Ferrer
Francisco Jose Baptista Pereira
Ernesto Costa
Citations