GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{eurogp07:lichodzijewski,

• author = "Peter Lichodzijewski and Malcolm I. Heywood",
• title = "GP Classifier Problem Decomposition Using First-Price and Second-Price Auctions",
• editor = "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
• booktitle = "Proceedings of the 10th European Conference on Genetic Programming",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4445",
• year = "2007",
• address = "Valencia, Spain",
• month = "11-13 " # apr,
• pages = "137--147",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-71602-5",
• isbn13 = "978-3-540-71602-0",
• DOI = "doi:10.1007/978-3-540-71605-1_13",
• abstract = "This work details an auction-based model for problem decomposition in Genetic Programming classification. The approach builds on the population-based methodology of Genetic Programming to evolve individuals that bid high for patterns that they can correctly classify. The model returns a set of individuals that decompose the problem by way of this bidding process and is directly applicable to multi-class domains. An investigation of two auction types emphasises the effect of auction design on the properties of the resulting solution. The work demonstrates that auctions are an effective mechanism for problem decomposition in classification problems and that Genetic Programming is an effective means of evolving the underlying bidding behaviour.",
• notes = "Part of \cite{ebner:2007:GP} EuroGP'2007 held in conjunction with EvoCOP2007, EvoBIO2007 and EvoWorkshops2007",

}

Genetic Programming entries for Peter Lichodzijewski Malcolm Heywood

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