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GENERATING MUSIC THROUGH GENETIC ALGORITHMS

Genetic algorithms attempt to embody Darwin’s Theory of Evolution in a series of computational steps, usually to derive optimal solutions to a given problem. This process is normally attributed to thinking and creativity but can be simplified in this case to a series of converging solutions. We have attempted to apply genetic algorithms to the composition of music, where the optimal solutions are the better sounding pieces. The main aim of this experiment was to derive an algorithm and find suitable values for its parameters. There was reasonable success in this experiment, which had a narrowed scope of classical music. One of the main problems encountered was defining what is good music.