Tonality Driven Piano Compositions with Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{loughran:cec2015,

• author = "Roisin Loughran and James McDermott and Michael O'Neill",
• title = "Tonality Driven Piano Compositions with Grammatical Evolution",
• 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 evolution",
• 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

Citations