Statistical Distribution of Generation-to-Success in GP: Application to Model Accumulated Success Probability
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{barrero:2011:EuroGP,
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author = "David F. Barrero and Bonifacio Casta\~no and
Maria D. R-Moreno and David Camacho",
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title = "Statistical Distribution of Generation-to-Success in
GP: Application to Model Accumulated Success
Probability",
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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 = "154--165",
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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_14",
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abstract = "Many different metrics have been defined in Genetic
Programming. Depending on the experiment requirements
and objectives, a collection of measures are selected
in order to achieve an understanding of the algorithm
behaviour. One of the most common metrics is the
accumulated success probability, which evaluates the
probability of an algorithm to achieve a solution in a
certain generation. We propose a model of accumulated
success probability composed by two parts, a binomial
distribution that models the total number of success,
and a lognormal approximation to the
generation-to-success, that models the variation of the
success probability with the generation.",
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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
David F Barrero
Bonifacio Castano
Ma Dolores Rodriguez Moreno
David Camacho
Citations