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A Genetic Algorithm for Dodecaphonic Compositions

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Applications of Evolutionary Computation (EvoApplications 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6625))

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Abstract

In this paper we propose an automatic music composition system for dodecaphonic music based on a genetic algorithm.

Dodecaphonic music, introduced by A. Schoenberg, departs from the concept of tonality by considering all 12 notes equally important. Dodecaphonic compositions are constructed starting from a 12-note series, which is a sequence of all the 12 notes; the compositional process uses the starting 12-note series as a seed and builds the music creating new fragments of music obtained by transforming the seed series.

The algorithm proposed in this paper automates the compositional process taking a seed series as input and automatically creating a dodecaphonic composition. We have implemented the algorithm and we have run several tests to study its behaviour.

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De Prisco, R., Zaccagnino, G., Zaccagnino, R. (2011). A Genetic Algorithm for Dodecaphonic Compositions. In: Di Chio, C., et al. Applications of Evolutionary Computation. EvoApplications 2011. Lecture Notes in Computer Science, vol 6625. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20520-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-20520-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20519-4

  • Online ISBN: 978-3-642-20520-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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