Evolving Music Generation with SOM-fitness Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{phon-amnuaisuk:evows07,
  author =       "Somnuk Phon-Amnuaisuk and Edwin Hui Hean Law and 
                 Chin Kuan Ho",
  title =        "Evolving Music Generation with SOM-fitness Genetic
                 Programming",
  booktitle =    "Applications of Evolutionary Computing,
                 EvoWorkshops2007: {EvoCOMNET}, {EvoFIN}, {EvoIASP},
                 {EvoInteraction}, {EvoMUSART}, {EvoSTOC},
                 {EvoTransLog}",
  year =         "2007",
  month =        "11-13 " # apr,
  editor =       "Mario Giacobini and Anthony Brabazon and 
                 Stefano Cagnoni and Gianni A. {Di Caro} and Rolf Drechsler and 
                 Muddassar Farooq and Andreas Fink and 
                 Evelyne Lutton and Penousal Machado and Stefan Minner and 
                 Michael O'Neill and Juan Romero and Franz Rothlauf and 
                 Giovanni Squillero and Hideyuki Takagi and A. Sima Uyar and 
                 Shengxiang Yang",
  series =       "LNCS",
  volume =       "4448",
  publisher =    "Springer Verlag",
  address =      "Valencia, Spain",
  pages =        "557--566",
  keywords =     "genetic algorithms, genetic programming,
                 Self-Organising Features Map, Automatic Music
                 generation",
  isbn13 =       "978-3-540-71804-8",
  DOI =          "doi:10.1007/978-3-540-71805-5_61",
  abstract =     "Most real life applications have huge search spaces.
                 Evolutionary Computation provides an advantage in the
                 form of parallel explorations of many parts of the
                 search space. In this report, Genetic Programming is
                 the technique we used to search for good melodic
                 fragments. It is generally accepted that knowledge is a
                 crucial factor to guide search. Here, we show that SOM
                 can be used to facilitate the encoding of domain
                 knowledge into the system. The SOM was trained with
                 music of desired quality and was used as fitness
                 functions. In this work, we are not interested in music
                 with complex rules but with simple music employed in
                 computer games. We argue that this technique provides a
                 flexible and adaptive means to capture the domain
                 knowledge in the system.",
  notes =        "EvoWorkshops2007",
}

Genetic Programming entries for Somnuk Phon-Amnuaisuk Edwin Hui Hean Law Chin Kuan Ho

Citations