ESAGP -- A Semantic GP Framework Based on Alignment in the Error Space
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{ruberto:2014:EuroGP,
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author = "Stefano Ruberto and Leonardo Vanneschi and
Mauro Castelli and Sara Silva",
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title = "ESAGP -- A Semantic GP Framework Based on Alignment in
the Error Space",
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booktitle = "17th European Conference on Genetic Programming",
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year = "2014",
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editor = "Miguel Nicolau and Krzysztof Krawiec and
Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and
Juan J. Merelo and Victor M. {Rivas Santos} and
Kevin Sim",
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series = "LNCS",
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volume = "8599",
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publisher = "Springer",
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pages = "150--161",
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address = "Granada, Spain",
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month = "23-25 " # apr,
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-662-44302-6",
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DOI = "doi:10.1007/978-3-662-44303-3_13",
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abstract = "This paper introduces the concepts of error vector and
error space, directly bound to semantics, one of the
hottest topics in genetic programming. Based on these
concepts, we introduce the notions of optimally aligned
individuals and optimally coplanar individuals. We show
that, given optimally aligned, or optimally coplanar,
individuals, it is possible to construct a globally
optimal solution analytically. Thus, we introduce a
genetic programming framework for symbolic regression
called Error Space Alignment GP (ESAGP) and two of its
instances: ESAGP-1, whose objective is to find
optimally aligned individuals, and ESAGP-2, whose
objective is to find optimally coplanar individuals. We
also discuss how to generalise the approach to any
number of dimensions. Using two complex real-life
applications, we provide experimental evidence that
ESAGP-2 outperforms ESAGP-1, which in turn outperforms
both standard GP and geometric semantic GP. This
suggests that adding dimensions is beneficial and
encourages us to pursue the study in many different
directions, that we summarise in the final part of the
manuscript.",
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notes = "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
and EvoApplications2014",
- }
Genetic Programming entries for
Stefano Ruberto
Leonardo Vanneschi
Mauro Castelli
Sara Silva
Citations