Pseudo-Genetic
Algorithmic Composition
Author:
Harald Schmidl
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This work presents an approach for algorithmic music composition using augmented
genetic
algorithms. We focus on generation of new material
that lies within the context initially intended by the user, minimizing user
input, avoiding randomness, and ensuring realtime execution. We achieve the
latter by devising straightforward operations
for
generating new
musical
material
and
a
fast filtering
algorithm for selecting "good" samples.
The algorithm lends itself well to a theme and
variation approach as used in traditional composition styles, such as canon,
fugue, or
counterpoint.
Resources
Access the paper and some mp3 samples through the links below.
The paper in pdf format as presented at GEM'08, The International Conference
on Genetic and Evolutionary Methods, Las Vegas.
Sample 1: canon-oriented piece for recorder,
oboe, and baritone sax.
Sample 2: cocktail lounge piano music
for three hands.
Sample 3: less conventional composition
for violin, cello, contrabass.
Sample 4: 80s disco for two synthesizers
and percussion.
Sample 5: piece peace for sitar, organ,
trumpet, and hand clap.
© 2008
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