An executable graph representation for evolutionary generative music

Created by W.Langdon from gp-bibliography.bib Revision:1.4333

  author =       "James McDermott and Una-May O'Reilly",
  title =        "An executable graph representation for evolutionary
                 generative music",
  booktitle =    "GECCO '11: Proceedings of the 13th annual conference
                 on Genetic and evolutionary computation",
  year =         "2011",
  editor =       "Natalio Krasnogor and Pier Luca Lanzi and 
                 Andries Engelbrecht and David Pelta and Carlos Gershenson and 
                 Giovanni Squillero and Alex Freitas and 
                 Marylyn Ritchie and Mike Preuss and Christian Gagne and 
                 Yew Soon Ong and Guenther Raidl and Marcus Gallager and 
                 Jose Lozano and Carlos Coello-Coello and Dario Landa Silva and 
                 Nikolaus Hansen and Silja Meyer-Nieberg and 
                 Jim Smith and Gus Eiben and Ester Bernado-Mansilla and 
                 Will Browne and Lee Spector and Tina Yu and Jeff Clune and 
                 Greg Hornby and Man-Leung Wong and Pierre Collet and 
                 Steve Gustafson and Jean-Paul Watson and 
                 Moshe Sipper and Simon Poulding and Gabriela Ochoa and 
                 Marc Schoenauer and Carsten Witt and Anne Auger",
  isbn13 =       "978-1-4503-0557-0",
  pages =        "403--410",
  keywords =     "genetic algorithms, genetic programming, grammatical
                 evolution, Digital entertainment technologies and
  month =        "12-16 " # jul,
  organisation = "SIGEVO",
  address =      "Dublin, Ireland",
  DOI =          "doi:10.1145/2001576.2001632",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  abstract =     "We focus on a representation for evolutionary music
                 based on executable graphs in which nodes execute
                 arithmetic functions. Input nodes supply time variables
                 and abstract control variables, and multiple output
                 nodes are mapped to MIDI data. The motivation is that
                 multiple outputs from a single graph should tend to
                 behave in related ways, a key characteristic of good
                 music. While the graph itself determines the short-term
                 behaviour of the music, the control variables can be
                 used to specify large-scale musical structure. This
                 separation of music into form and content enables novel
                 compositional techniques well-suited to writing for
                 games and film, as well as for standalone pieces. A
                 mapping from integer-array genotypes to executable
                 graph phenotypes means that evolution, both interactive
                 and non-interactive, can be applied. Experiments with
                 and without human listeners support several specific
                 claims concerning the system's benefits.",
  notes =        "Also known as \cite{2001632} GECCO-2011 A joint
                 meeting of the twentieth international conference on
                 genetic algorithms (ICGA-2011) and the sixteenth annual
                 genetic programming conference (GP-2011)",

Genetic Programming entries for James McDermott Una-May O'Reilly