Evolutionary methods for musical composition
p. [312]-[326]
Résumé
We discuss the use of genetic algorithms (GAs) for the generation of music. We explain the structure of a typical GA, and outline existing work on the use of GAs in computer music. We propose that the addition of domain-specific knowledge can enhance the quality and speed of production of GA results, and describe two systems which exemplify this. However, we conclude that GAs are not ideal for the simulation of human musical thought (notwithstanding their ability to produce good results) because their operation in no way simulates human behaviour.
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Référence papier
Geraint Wiggins, George Papadopoulos, Somnuk Phon-Amnuaisuk et Andrew Tuson, « Evolutionary methods for musical composition », CASYS, 4 | 1999, [312]-[326].
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Geraint Wiggins, George Papadopoulos, Somnuk Phon-Amnuaisuk et Andrew Tuson, « Evolutionary methods for musical composition », CASYS [En ligne], 4 | 1999, mis en ligne le 15 July 2024, consulté le 20 September 2024. URL : http://popups.lib.uliege.be/1373-5411/index.php?id=1601
Auteurs
Geraint Wiggins
School of artificial intelligence, Division of informatics, University of Edinburgh
George Papadopoulos
School of artificial intelligence, Division of informatics, University of Edinburgh
Somnuk Phon-Amnuaisuk
School of artificial intelligence, Division of informatics, University of Edinburgh
Andrew Tuson
School of artificial intelligence, Division of informatics, University of Edinburgh