Geometric Differential Evolution on the Space of Genetic Programs
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Moraglio:2010:EuroGP,
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author = "Alberto Moraglio and Sara Silva",
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title = "Geometric Differential Evolution on the Space of
Genetic Programs",
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booktitle = "Proceedings of the 13th European Conference on Genetic
Programming, EuroGP 2010",
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year = "2010",
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editor = "Anna Isabel Esparcia-Alcazar and Aniko Ekart and
Sara Silva and Stephen Dignum and A. Sima Uyar",
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volume = "6021",
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series = "LNCS",
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pages = "171--183",
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address = "Istanbul",
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month = "7-9 " # apr,
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organisation = "EvoStar",
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publisher = "Springer",
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note = "Best paper",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-12147-0",
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DOI = "doi:10.1007/978-3-642-12148-7_15",
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abstract = "Geometric Differential Evolution (GDE) is a very
recently introduced formal generalization of
traditional Differential Evolution (DE) that can be
used to derive specific GDE for both continuous and
combinatorial spaces retaining the same geometric
interpretation of the dynamics of the DE search across
representations. In this paper, we derive formally a
specific GDE for the space of genetic programs. The
result is a Differential Evolution algorithm searching
the space of genetic programs by acting directly on
their tree representation. We present experimental
results for the new algorithm.",
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notes = "Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
held in conjunction with EvoCOP2010 EvoBIO2010 and
EvoApplications2010",
- }
Genetic Programming entries for
Alberto Moraglio
Sara Silva
Citations