Tonality Driven Piano Compositions with Grammatical Evolution

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

  author =       "Roisin Loughran and James McDermott and 
                 Michael O'Neill",
  title =        "Tonality Driven Piano Compositions with Grammatical
  booktitle =    "Proceedings of 2015 IEEE Congress on Evolutionary
                 Computation (CEC 2015)",
  editor =       "Yadahiko Murata",
  pages =        "2168--2175",
  year =         "2015",
  address =      "Sendai, Japan",
  month =        "25-28 " # may,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, grammatical
  DOI =          "doi:10.1109/CEC.2015.7257152",
  abstract =     "We present a novel method of creating piano melodies
                 with Grammatical Evolution (GE). The system employs a
                 context free grammar in combination with a
                 tonality-driven fitness function to create a population
                 of piano melodies. The grammar is designed to create a
                 variety of styles of musical events within each melody
                 such as runs, arpeggios, turns and chords without any a
                 priori musical information in regards to key or time
                 signature. The fitness of the individuals is calculated
                 as a measure of their tonality defined by a statistical
                 distribution of the pitches in each piece. A number of
                 short compositions are presented demonstrating that our
                 system is capable of creating music that is interesting
                 and unpredictable.",
  notes =        "1110 hrs 15260 CEC2015",

Genetic Programming entries for Roisin Loughran James McDermott Michael O'Neill