Automatic Learning of Multiple Extended Boolean Queries by Multiobjective GA-P Algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InCollection{Cordon:2004:fzi,

• author = "O. Cordon and F. Moya and C. Zarco",
• title = "Automatic Learning of Multiple Extended {Boolean} Queries by Multiobjective GA-P Algorithms",
• booktitle = "Fuzzy Logic and the Internet",
• publisher = "PHYSICA-VERLAG",
• year = "2004",
• editor = "V. Loia and M. Nikravesh and L. A. Zadeh",
• volume = "137",
• series = "STUDIES IN FUZZINESS AND SOFT COMPUTING",
• pages = "47--70",
• address = "Germany",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://direct.bl.uk/research/18/0E/RN143659018.html",
• DOI = "doi:10.1007/978-3-540-39988-9_3",
• ISSN = "1434-9922",
• abstract = "In this contribution, a new Inductive Query by Example process is proposed to automatically derive extended Boolean queries for fuzzy information retrieval systems from a set of relevant documents provided by a user. The novelty of our approach is that it is able to simultaneously generate several queries with a different precision-recall tradeoff in a single run. To do so, it is based on an advanced. evolutionary algorithm, GA-P, specially designed to tackle with multiobjective problems by means of a Pareto-based multi-objective technique. The performance of the new proposal will be tested on the usual Cranfield collection and compared to the well-known Kraft et al.'s process.",
• notes = "English",

}

Genetic Programming entries for Oscar Cordon Felix de Moya Carmen Zarco Fernandez

Citations