Evolving Four Part Harmony Using a Multiple Worlds Model

Marco Scirea, Joseph Alexander Brown

Publikation: Konference artikel i Proceeding eller bog/rapport kapitelKonferencebidrag i proceedingsForskningpeer review

Abstract

This application of the Multiple Worlds Model examines a collaborative fitness model for generating four part harmonies. In this model we have multiple populations and the fitness of the individuals is based on the ability
of a member from each population to work with the members of other populations. We present the result of two experiments: the generation of compositions, given a static voice line, both in a constrained and unconstrained
harmonic framework. The remaining three voices are evolved using this collaborative fitness function, which looks for a number of classical composition rules for such music. The evolved music is found to meet with
the requirements placed on it by musical theory. Using the data obtained while running our experiments we observe and discuss interesting qualities of the solution space.
OriginalsprogEngelsk
TitelProceedings of the 7th International Joint Conference on Computational Intelligence
Antal sider8
Vol/bind1
UdgivelsesstedPortugal
Publikationsdato2015
Sider220-227
ISBN (Trykt)978-989-758-157-1
StatusUdgivet - 2015

Emneord

  • Genentic algorythms
  • Procedural content generation
  • Music
  • music generation

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