O.R. and music generation: The role of operations research in state-of-the-art automatic composition systems: challenges and opportunities.

Dorien Herremans*, Elaine Chew

*Corresponding author for this work

Research output: Contribution to specialist publicationFeatured article

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Abstract

Operations research (O.R.) is a diverse field centered on the modeling and solving of complex problems. The robustness of O.R. techniques is evidenced in their successful applications to problems as diverse as finding optimal phone keyboard layouts [26] and modified driven equilibrium fourier transform sequence optimization to improve 3-D brain imaging scans [7]. Apart from addressing problems of industrial utility and health, operations research has also been applied to problems farther afield in art and design such as architectural layouts [8] and the finding of musical solutions that satisfy compositional constraints [28, 10]. It is the last category of problems that forms the focus of this article – the role of operations research in state-of-the-art automatic composition systems, the challenges and opportunities. In particular, we highlight the contributions of O.R. modeling in the context of the MorpheuS project [30, 15]. For a more complete overview of music generation systems, the reader is referred to Herremans et al. (2018) [17].

Keywords

  • operations research
  • automatic composition
  • music generation
  • tonality
  • digital music
  • music representation
  • harmonic tension

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