Analytic Solutions to Differential Equations under Graph-based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Seaton:2010:EuroGP,
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author = "Tom Seaton and Gavin Brown and Julian Miller",
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title = "Analytic Solutions to Differential Equations under
Graph-based Genetic Programming",
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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 = "232--243",
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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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keywords = "genetic algorithms, genetic programming, cartesian
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_20",
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abstract = "Cartesian Genetic Programming (CGP) is applied to
solving differential equations (DE). We illustrate that
repeated elements in analytic solutions to DE can be
exploited under GP. An analysis is carried out of the
search space in tree and CGP frameworks, examining the
complexity of different DE problems. Experimental
results are provided against benchmark ordinary and
partial differential equations. A system of ordinary
differential equations (SODE) is solved using multiple
outputs from a genome. We discuss best heuristics when
generating DE solutions through evolutionary search.",
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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
Tom Seaton
Gavin Brown
Julian F Miller
Citations