Multi-objective Ant Programming for Mining Classification Rules
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{olmo:2012:EuroGP,
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author = "Juan Luis Olmo and Jose Raul Romero and
Sebastian Ventura",
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title = "Multi-objective Ant Programming for Mining
Classification Rules",
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booktitle = "Proceedings of the 15th European Conference on Genetic
Programming, EuroGP 2012",
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year = "2012",
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month = "11-13 " # apr,
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editor = "Alberto Moraglio and Sara Silva and
Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
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series = "LNCS",
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volume = "7244",
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publisher = "Springer Verlag",
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address = "Malaga, Spain",
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pages = "146--157",
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organisation = "EvoStar",
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isbn13 = "978-3-642-29138-8",
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DOI = "doi:10.1007/978-3-642-29139-5_13",
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keywords = "genetic algorithms, genetic programming, Data mining,
Classification, Ant programming, Multi-objective
optimisation",
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abstract = "Ant programming (AP) is a kind of automatic
programming that generates computer programs by using
the ant colony optimization metaheuristic. It has
recently demonstrated a good generalisation ability
when extracting classification rules. We extend the
investigation on the application of AP to
classification, developing an algorithm that addresses
rules' evaluation using a novel multi-objective
approach specially devised for the classification task.
The algorithm proposed also incorporates an
evolutionary computing niching procedure to increment
the diversity of the population of programs found so
far. Results obtained by this algorithm are compared
with other three genetic programming algorithms and
other industry standard algorithms from different
areas, proving that multi-objective AP is a good
technique at tackling classification problems.",
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notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
and EvoApplications2012",
- }
Genetic Programming entries for
Juan Luis Olmo
Jose Raul Romero Salguero
Sebastian Ventura
Citations