A Nearest Hyperrectangle Learning Method
Machine Learning
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Editing for the k-nearest neighbors rule by a genetic algorithm
Pattern Recognition Letters - Special issue on genetic algorithms
iFind—a system for semantics and feature based image retrieval over Internet
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Grammatical Evolution: Evolving Programs for an Arbitrary Language
EuroGP '98 Proceedings of the First European Workshop on Genetic Programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Improved heterogeneous distance functions
Journal of Artificial Intelligence Research
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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.