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Abstract
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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References
Bibliographical reference
Geraint Wiggins, George Papadopoulos, Somnuk Phon-Amnuaisuk and Andrew Tuson, « Evolutionary methods for musical composition », CASYS, 4 | 1999, 313-326.
Electronic reference
Geraint Wiggins, George Papadopoulos, Somnuk Phon-Amnuaisuk and Andrew Tuson, « Evolutionary methods for musical composition », CASYS [Online], 4 | 1999, Online since 07 October 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=1601
Authors
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