Mañana, JUEVES, 24 DE ABRIL, el sistema se apagará debido a tareas habituales de mantenimiento a partir de las 9 de la mañana. Lamentamos las molestias.
Testing genetic algorithm, recombination strategies and the normalized compression distance for computer-generated music
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
World Scientific and Engineering Academy and Society (WSEAS)Date
2006Citation
Proceedings of the WSEAS Conferences: 5th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED 2006). Ed. Pablo Luis Lopez Espi, Jose M. Giron-Sierra. WSEAS, 2006.Funded by
This work has been sponsored by the Spanish Ministry of Education and Science (MEC), project number TSI2005-08225-C07-06.Editor's Version
http://www.wseas.us/e-library/conferences/2006madrid/papers/512-240.pdfSubjects
Evolutionary Computation; Coding and Information Theory; Genetic Algorithms; Computer Generated Music; Classification; Clustering; InformáticaNote
This is an electronic version of the paper presented at the WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases (AIKED 2006) held in Madrid (Spain) on 2006Rights
© 2006 - All Rights Reserved - WSEAS - World Scientific and Engineering Academy and SocietyAbstract
This paper analyzes the use of the normalized compression distance as a fitness function for the
automatic generation of music by means of genetic algorithms, and tests the effect on performance of several
genetic recombination procedures. The minimization of the distance of the generated music to a set of
musical guides or targets makes it possible to obtain computer-generated music that reminds the style of a
certain human author. In spite of the simplicity of the algorithm, the procedure obtains interesting results.
The paper includes some considerations on the use of procedures that improve the performance of heavytailed
distribution processes.
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Google Scholar:Alfonseca, Manuel
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Cebrián Ramos, Manuel
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Ortega de la Puente, Alfonso
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