Grammatical Evolution with Zipf's Law Based Fitness for Melodic Composition

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

@InProceedings{loughran:smc2015,

• author = "Roisin Loughran and James McDermott and Michael O'Neill",
• title = "Grammatical Evolution with Zipf's Law Based Fitness for Melodic Composition",
• booktitle = "SMC 2015 The 12th Sound and Music Computing Conference",
• year = "2015",
• address = "Maynooth, Ireland",
• editor = "Joseph Timoney",
• month = "26 " # jul # " - 1 " # aug,
• organisation = "Music Technology Group in the Departments of Music and Computer Science at Maynooth University, Ireland",
• keywords = "genetic algorithms, genetic programming, grammatical evolution, Zipf distribution, music",
• URL = "http://ncra.ucd.ie/papers/smc2015_loughran.pdf",
• size = "8 pages",
• abstract = "We present a novel method of composing piano pieces with Grammatical Evolution. A grammar is designed to define a search space for melodies consisting of notes, chords, turns and arpeggios. This space is searched using a fitness function based on the calculation of the Zipfs distribution of a number of pitch and duration attributes within the given melodies. In this way, we can create melodies without specifying a key or time signature. We can then create simple accompanying bass parts to repeat under the melody. This bass part is evolved using a grammar created from the evolved treble line with a fitness based on Zipf's distribution of the harmonic relationship between the treble and bass parts. From an analysis of the system we conclude that the designed grammar and the construction of the compositions from the final population of melodies is more influential on the musicality of the resultant compositions than the use of the Zipf's metrics.",
• notes = "http://www.maynoothuniversity.ie/smc15/friday.html",

}

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

Citations