Comparison of strategies based on evolutionary computation for the design of similarity functions

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3 Cites (Scopus)

Resum

One of the main keys in case-based reasoning system is the retrieval phase, where the most similar cases are retrieved by means of a similarity function. According to the problem, the similarity function must be selected and adapted depending on the characteristics and properties of the problem's domain. The goal of this article is to present a platform called BRAIN, which incorporates strategies based on different evolutionary approaches to design similarity functions ad hoc for a domain to be used in a case-based reasoning system. The strategies are based on Genetic Programming and Grammar Evolution approaches. Both are applied to different data sets to study the influence of their characteristic in the accuracy rate and in the execution time.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development
Pàgines231-238
Nombre de pàgines8
Estat de la publicacióPublicada - 2005
Esdeveniment8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italy
Durada: 26 d’oct. 200528 d’oct. 2005

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum131
ISSN (imprès)0922-6389

Conferència

Conferència8th Catalan Conference on Artificial Intelligence, CCIA 2005
País/TerritoriItaly
CiutatAlguer
Període26/10/0528/10/05

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