Music Composition Using Harmony Search Algorithm

  • Zong Woo Geem
  • Jeong-Yoon Choi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4448)


Music pieces have been composed using a behavior-inspired evolutionary algorithm, harmony search (HS). The HS algorithm mimics behaviors of music players in an improvisation process, where each player produces a pitch based on one of three operations (random selection, memory consideration, and pitch adjustment) in order to find a better state of harmony which can be translated into a solution vector in the optimization process. When HS was applied to the organum (an early form of polyphonic music) composition, it could successfully compose harmony lines based on original Gregorian chant lines.


Harmony Search Harmony Search Algorithm Harmony Memory Music Composition Genetic Algorithm Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zong Woo Geem
    • 1
  • Jeong-Yoon Choi
    • 2
  1. 1.Johns Hopkins University, Environmental Planning and Management Program, 729 Fallsgrove Drive #6133, Rockville, Maryland 20850USA
  2. 2.Washington Conservatory of Music, 3920 Alton Place NW, Washington, DC 20016USA

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