Multi-objective Ant Programming for Mining Classification Rules

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{olmo:2012:EuroGP,

• author = "Juan Luis Olmo and Jose Raul Romero and Sebastian Ventura",
• title = "Multi-objective Ant Programming for Mining Classification Rules",
• booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
• year = "2012",
• month = "11-13 " # apr,
• editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
• series = "LNCS",
• volume = "7244",
• publisher = "Springer Verlag",
• address = "Malaga, Spain",
• pages = "146--157",
• organisation = "EvoStar",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_13",
• keywords = "genetic algorithms, genetic programming, Data mining, Classification, Ant programming, Multi-objective optimisation",
• 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.",
• 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

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