Controlling interactive evolution of 8-bit melodies with genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Maximos A. Kaliakatsos-Papakostas and 
                 Michael G. Epitropakis and Andreas Floros and 
                 Michael N. Vrahatis",
  title =        "Controlling interactive evolution of 8-bit melodies
                 with genetic programming",
  journal =      "Soft Computing - A Fusion of Foundations,
                 Methodologies and Applications",
  year =         "2012",
  volume =       "16",
  number =       "12",
  pages =        "1997--2008",
  month =        dec,
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming, Interactive
                 evolution, Music composition, Sound synthesis,
                 Fitness-adaptive genetic operators",
  ISSN =         "1432-7643",
  DOI =          "doi:10.1007/s00500-012-0872-y",
  language =     "English",
  size =         "12 pages",
  abstract =     "Automatic music composition and sound synthesis is a
                 field of study that gains continuously increasing
                 attention. The introduction of evolutionary computation
                 has further boosted the research towards exploring ways
                 to incorporate human supervision and guidance in the
                 automatic evolution of melodies and sounds. This kind
                 of human-machine interaction belongs to a larger
                 methodological context called interactive evolution
                 (IE). For the automatic creation of art and especially
                 for music synthesis, user fatigue requires that the
                 evolutionary process produces interesting content that
                 evolves fast. This paper addresses this issue by
                 presenting an IE system that evolves melodies using
                 genetic programming (GP). A modification of the GP
                 operators is proposed that allows the user to have
                 control on the randomness of the evolutionary process.
                 The results obtained by subjective tests indicate that
                 the use of the proposed genetic operators drives the
                 evolution to more user-preferable sounds.",

Genetic Programming entries for Maximos A Kaliakatsos-Papakostas Michael G Epitropakis Andreas Floros Michael N Vrahatis