A Quantitative Study of Learning and Generalization in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{castelli:2011:EuroGP,
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author = "Mauro Castelli and Luca Manzoni and Sara Silva and
Leonardo Vanneschi",
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title = "A Quantitative Study of Learning and Generalization in
Genetic Programming",
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booktitle = "Proceedings of the 14th European Conference on Genetic
Programming, EuroGP 2011",
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year = "2011",
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month = "27-29 " # apr,
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editor = "Sara Silva and James A. Foster and Miguel Nicolau and
Mario Giacobini and Penousal Machado",
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series = "LNCS",
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volume = "6621",
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publisher = "Springer Verlag",
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address = "Turin, Italy",
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pages = "25--36",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-20406-7",
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DOI = "doi:10.1007/978-3-642-20407-4_3",
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abstract = "The relationship between generalisation and solutions
functional complexity in genetic programming (GP) has
been recently investigated. Three main contributions
are contained in this paper: (1) a new measure of
functional complexity for GP solutions, called Graph
Based Complexity (GBC) is defined and we show that it
has a higher correlation with GP performance on
out-of-sample data than another complexity measure
introduced in a recent publication. (2) A new measure
is presented, called Graph Based Learning Ability
(GBLA). It is inspired by the GBC and its goal is to
quantify the ability of GP to learn difficult training
points; we show that GBLA is negatively correlated with
the performance of GP on out-of-sample data. (3)
Finally, we use the ideas that have inspired the
definition of GBC and GBLA to define a new fitness
function, whose suitability is empirically
demonstrated. The experimental results reported in this
paper have been obtained using three real-life
multidimensional regression problems.",
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notes = "Part of \cite{Silva:2011:GP} EuroGP'2011 held in
conjunction with EvoCOP2011 EvoBIO2011 and
EvoApplications2011",
- }
Genetic Programming entries for
Mauro Castelli
Luca Manzoni
Sara Silva
Leonardo Vanneschi
Citations