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

Producción científica: Capítulo del libroContribución a congreso/conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

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 originalInglés
Título de la publicación alojadaArtificial Intelligence Research and Development
Páginas231-238
Número de páginas8
EstadoPublicada - 2005
Evento8th Catalan Conference on Artificial Intelligence, CCIA 2005 - Alguer, Italia
Duración: 26 oct 200528 oct 2005

Serie de la publicación

NombreFrontiers in Artificial Intelligence and Applications
Volumen131
ISSN (versión impresa)0922-6389

Conferencia

Conferencia8th Catalan Conference on Artificial Intelligence, CCIA 2005
País/TerritorioItalia
CiudadAlguer
Período26/10/0528/10/05

Huella

Profundice en los temas de investigación de 'Comparison of strategies based on evolutionary computation for the design of similarity functions'. En conjunto forman una huella única.

Citar esto