Evolving Four-Part Harmony Using Genetic Algorithms

  • Patrick Donnelly
  • John Sheppard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6625)

Abstract

This paper presents a genetic algorithm that evolves a four-part musical composition–melodically, harmonically, and rhythmically. Unlike similar attempts in the literature, our composition evolves from a single musical chord without human intervention or initial musical material. The mutation rules and fitness evaluation are based on common rules from music theory. The genetic operators and individual mutation rules are selected from probability distributions that evolve alongside the musical material.

Keywords

Genetic Algorithm Evolutionary Programming Melody Harmony Rhythm Music Composition 

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References

  1. 1.
    Biles, J.: GenJam: A genetic algorithm for generating jazz solos. In: Proceedings of the International Computer Music Conference, pp. 131–131 (1994)Google Scholar
  2. 2.
    Cope, D.: Virtual Music: Computer Synthesis of Musical Style. The MIT Press, Cambridge (2004)Google Scholar
  3. 3.
    Göksu, H., Pigg, P., Dixit, V.: Music composition using Genetic Algorithms (GA) and multilayer perceptrons (MLP). In: Advances in Natural Computation, pp. 1242–1250 (2005)Google Scholar
  4. 4.
    Holland, J.: Adaptation in natural and artificial systems. The University of Michigan Press, Ann Arbor (1975)Google Scholar
  5. 5.
    Horowitz, D.: Generating rhythms with genetic algorithms. In: Proceedings Of The National Conference On Artificial Intelligence, pp. 1459–1459. John Wiley & Sons, Chichester (1995)Google Scholar
  6. 6.
    Jacob, B.: Composing with genetic algorithms, pp. 452–455 (1995)Google Scholar
  7. 7.
    Kostka, S., Payne, D., Schindler, A.: Tonal harmony, with an introduction to twentieth-century music. McGraw-Hill, New York (2000)Google Scholar
  8. 8.
    Maddox, T., Otten, J.: Using an Evolutionary Algorithm to Generate Four-Part 18th Century Harmony. Mathematics and Computers in Modern Science: Acoustics and Music, Biology and Chemistry, Business and Economics, 83–89 (2000)Google Scholar
  9. 9.
    Marques, M., Oliveira, V., Vieira, S., Rosa, A.: Music composition using genetic evolutionary algorithms. In: Proceedings of the 2000 Congress on Evolutionary Computation, vol. 1, pp. 714–719 (2000)Google Scholar
  10. 10.
    McIntyre, R.: Bach in a box: The evolution of four part baroque harmony using the genetic algorithm. In: Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, pp. 852–857 (2002)Google Scholar
  11. 11.
    Papadopoulos, G., Wiggins, G.: AI methods for algorithmic composition: A survey, a critical view and future prospects. In: AISB Symposium on Musical Creativity, pp. 110–117 (1999)Google Scholar
  12. 12.
    Phon-Amnuaisuk, S., Wiggins, G.: The four-part harmonisation problem: a comparison between genetic algorithms and a rule-based system. In: Proceedings of the AISB 1999 Symposium on Musical Creativity (1999)Google Scholar
  13. 13.
    Towsey, M., Brown, A., Wright, S., Diederich, J.: Towards melodic extension using genetic algorithms, pp. 54–64. International Forum of Educational Technology & Society (2001)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Patrick Donnelly
    • 1
  • John Sheppard
    • 1
  1. 1.Department of Computer ScienceMontana State UniversityBozemanUSA

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