A fuzzy genetic algorithm approach to an adaptive information retrieval agent
Marı́a J. Martı́n-Bautista, M.A. Vila, Henrik Legind Larsen · Journal of the American Society for Information Science · 1999
We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn the user’s information needs. The population of chromosomes with fixed length represents such user’s preferences. Each chromosome is associated with a fitness that may be considered the system’s belief in the hypothesis that the chromosome, as a query, represents the user’s information needs. In a chromosome, every gene characterizes documents by a