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Boolean Queries Optimization by Genetic Algorithms
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SYSNO ASEP 0405639 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Boolean Queries Optimization by Genetic Algorithms Title Optimalizace booleovských dotazů pomocí genetických algoritmů Author(s) Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Owais, S.S.J. (CZ)
Krömer, P. (CZ)
Snášel, Václav (UIVT-O)Source Title Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552
Roč. 15, - (2005), s. 395-409Number of pages 15 s. Language eng - English Country CZ - Czech Republic Keywords evolutionary algorithms ; genetic algorithms ; genetic programming ; information retrieval ; Boolean query Subject RIV BB - Applied Statistics, Operational Research R&D Projects 1ET100300414 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000232747100002 EID SCOPUS 27544476664 Annotation Most of information retrieval systems depend on Boolean queries. The performance of an information retrieval sys tem is usually measured in terms of two different criteria, precision and recall. This way, the optimization of any of its components is a clear example of a multiobjective problem. However, although evolutionary algorithms 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 algorithms in Information retrieval specially in optimizing of a Boolean query. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2006
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