Evolutionary Learning of Boolean Queries by Genetic Programming

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

@InProceedings{conf/adbis/OwaisKS05,

• title = "Evolutionary Learning of {Boolean} Queries by Genetic Programming",
• author = "Suhail S. J. Owais and Pavel Kromer and Vaclav Snasel",
• year = "2005",
• editor = "Johann Eder and Hele-Mai Haav and Ahto Kalja and Jaan Penjam",
• publisher = "CEUR-WS.org",
• series = "CEUR Workshop Proceedings",
• volume = "152",
• booktitle = "ADBIS 2005, Advances in Databases and Information Systems, Communications of the Ninth East-European Conference on Advances in Databases and Information Systems",
• address = "Tallinn, Estonia",
• month = sep # " 12-15",
• bibdate = "2005-11-23",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/adbis/adbis2005l.html#OwaisKS05",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-152/paper3.pdf",
• size = "12 pages",
• abstract = "The performance of an information retrieval system is usually measured in terms of two different criteria, precision and recall. This way, the optimisation of any of its components is a clear example of a multi objective problem. However, although evolutionary programming have been widely applied in the information retrieval area, in all of these applications both criteria have been combined in a single scalar fitness function by means of a weighting scheme. In this paper, we deal with using of Genetic Programming in Information retrieval specially in optimizing of a Boolean query.",

}

Genetic Programming entries for Suhail S J Owais Pavel Kromer Vaclav Snasel

Citations