A fitness function for computer-generated music using genetic algorithms
This paper describes the use of genetic algorithims for the automatic generation of music, by means of a fitness function computed with the normalized compression distance. Different recombination procedures are tested. The computer music generated tries to recover the style of a selected human auth...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2006 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/664728 |
| Acceso en línea: | http://hdl.handle.net/10486/664728 |
| Access Level: | acceso abierto |
| Palabra clave: | Evolutionary Computation Coding and Information Genetic Algorithms Computer Generated Music Informática |
| Sumario: | This paper describes the use of genetic algorithims for the automatic generation of music, by means of a fitness function computed with the normalized compression distance. Different recombination procedures are tested. The computer music generated tries to recover the style of a selected human author. In spite of the simplicity of the algorithm, the procedure obtains interestings results |
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