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FuX, an android app that generates counterpoint

Listed author(s):
  • HERREMANS, Dorien
  • SÖRENSEN, Kenneth

This paper describes the implementation of an Android application, called FuX1, that can continuously play a stream of newly generated fifth species counterpoint. A variable neighborhood search algorithm is implemented in order to generate the music. This algorithm is a modification of an algorithm developed previously by the authors to generate musical fragments of a pre-specified length [28]. The changes in the algorithm allow the Android app to play a continuous stream of music. The objective function used to evaluate the quality of the fragment is based on a quantification of the extensive rules of this musical style. FuX is a user friendly application that can be installed on any Android phone of tablet.

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Paper provided by University of Antwerp, Faculty of Applied Economics in its series Working Papers with number 2013003.

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Length: 17 pages
Date of creation: Mar 2013
Handle: RePEc:ant:wpaper:2013003
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  1. Fleszar, Krzysztof & Hindi, Khalil S., 2004. "Solving the resource-constrained project scheduling problem by a variable neighbourhood search," European Journal of Operational Research, Elsevier, vol. 155(2), pages 402-413, June.
  2. Aguilera, Gabriel & Luis Galán, José & Madrid, Rafael & Martínez, Antonio Manuel & Padilla, Yolanda & Rodríguez, Pedro, 2010. "Automated generation of contrapuntal musical compositions using probabilistic logic in Derive," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(6), pages 1200-1211.
  3. HERREMANS, Dorien & SÖRENSEN, Kenneth, 2012. "Composing Fifth Species Counterpoint Music With Variable Neighborhood Search," Working Papers 2012020, University of Antwerp, Faculty of Applied Economics.
  4. Hansen, Pierre & Mladenovic, Nenad, 2001. "Variable neighborhood search: Principles and applications," European Journal of Operational Research, Elsevier, vol. 130(3), pages 449-467, May.
  5. Avanthay, Cedric & Hertz, Alain & Zufferey, Nicolas, 2003. "A variable neighborhood search for graph coloring," European Journal of Operational Research, Elsevier, vol. 151(2), pages 379-388, December.
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