A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics
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- @InProceedings{vanneschi:2013:EuroGP,
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author = "Leonardo Vanneschi and Mauro Castelli and
Luca Manzoni and Sara Silva",
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title = "A New Implementation of Geometric Semantic GP and its
Application to Problems in Pharmacokinetics",
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booktitle = "Proceedings of the 16th European Conference on Genetic
Programming, EuroGP 2013",
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year = "2013",
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month = "3-5 " # apr,
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editor = "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and
A. Sima Uyar and Bin Hu",
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series = "LNCS",
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volume = "7831",
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publisher = "Springer Verlag",
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address = "Vienna, Austria",
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pages = "205--216",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-37206-3",
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DOI = "doi:10.1007/978-3-642-37207-0_18",
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abstract = "Moraglio et al. have recently introduced new genetic
operators for genetic programming, called geometric
semantic operators. These operators induce a unimodal
fitness landscape for all the problems consisting in
matching input data with known target outputs (like
regression and classification). This feature
facilitates genetic programming evolvability, which
makes these operators extremely promising.
Nevertheless, Moraglio et al. leave open problems, the
most important one being the fact that these operators,
by construction, always produce offspring that are
larger than their parents, causing an exponential
growth in the size of the individuals, which actually
renders them useless in practice. In this paper we
overcome this limitation by presenting a new efficient
implementation of the geometric semantic operators.
This allows us, for the first time, to use them on
complex real-life applications, like the two problems
in pharmacokinetics that we address here. Our results
confirm the excellent evolvability of geometric
semantic operators, demonstrated by the good results
obtained on training data. Furthermore, we have also
achieved a surprisingly good generalisation ability, a
fact that can be explained considering some properties
of geometric semantic operators, which makes them even
more appealing than before.",
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notes = "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in
conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013
and EvoApplications2013",
- }
Genetic Programming entries for
Leonardo Vanneschi
Mauro Castelli
Luca Manzoni
Sara Silva
Citations