Evolutionary Computation Systems for Musical Composition

This work shows a perspective of the different researches on musical composition using evolutionary techniques. It is made a classification based on the critic element of the different compositions. Four types of works are analyzed: Interactive, based on examples, rule-based and autonomous ones. Finally it is proposed the integration of the several works in a common frame, where different approaches can compete and/or collaborate to create global compositions that can be adapted to different types of music, and so include the advantages of the different techniques. Key-Words: Evolutionary Computation, Adaptive Systems, Artificial Neural Networks, Artificial Intelligence, Musical Composition.