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Evolutionary music
Evolutionary music is the audio counterpart to Evolutionary art, whereby algorithmic music is created using an evolutionary algorithm. The process begins with a population of individuals which by some means or other produce audio (e.g. a piece, melody, or loop), which is either initialized randomly or based on human-generated music. Then through the repeated application of computational steps analogous to biological selection, recombination and mutation the aim is for the produced audio to become more musical. Evolutionary sound synthesis is a related technique for generating sounds or synthesizer instruments. Evolutionary music is typically generated using an interactive evolutionary algorithm where the fitness function is the user or audience, as it is difficult to capture the aesthetic qualities of music computationally. However, research into automated measures of musical quality is also active. Evolutionary computation techniques have also been applied to harmonization and accompaniment tasks. The most commonly used evolutionary computation techniques are genetic algorithms and genetic programming.
==History==
NEUROGEN ((Gibson & Byrne, 1991 )) employed a genetic algorithm to produce and combine musical fragments and a neural network (trained on examples of "real" music) to evaluate their fitness. A genetic algorithm is also a key part of the improvisation and accompaniment system (GenJam ) which has been developed since 1993 by Al Biles. Biles and GenJam are together known as the Al Biles Virtual Quintet and have performed many times to human audiences. Genetic programming has been used to produce music since the work of Lee Spector and Alpern Alpern on evolved bebop musicians in 1994〔(Spector, L., and A. Alpern. 1994. Criticism, Culture, and the Automatic Generation of Artworks. In Proceedings of the Twelfth National Conference on Artificial Intelligence, AAAI-94, pp. 3-8. Menlo Park, CA and Cambridge, MA: AAAI Press/The MIT Press. )〕 and 1995,〔(Spector, L., and A. Alpern. 1995. Induction and Recapitulation of Deep Musical Structure. In Working Notes of the IJCAI-95 Workshop on Artificial Intelligence and Music. pp. 41-48. )〕 and in 1997 Brad Johanson and Riccardo Poli developed the (GP-Music System ) which used genetic programming to breed melodies according to both human and automated ratings. Since 1996 Rodney Waschka II has been using genetic algorithms for music composition including works such as ''Saint Ambrose''〔(Capstone Records:Rodney Waschka II - Saint Ambrose )〕 and his string quartets.〔(SpringerLink - Book Chapter )〕 Several systems for drum loop evolution have been produced (including one commercial program called (MuSing )).
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