An evolutionary approach to algorithmic composition

Authors:
Jontas Manzolli;Artemis Moroni;Fernando Von Zubens;Ricardo Gudwin
Affiliations:
Interdisciplinary Nucleus of Sound Communication (UNICAMP/NICS), University of Campinas, Rua da Reitoria, 165-13081-970, Campinas SP, Brazil jonatas@nics.unicamp.br;The Automation Institute (CTI/IA), Technological Center for Informatics, Via Dom Pedro I, KM143/6, Campinas SP, Brazil artemis@ia.cti.br;Interdisciplinary Nucleus of Sound Communication (UNICAMP/NICS), University of Campinas, Rua da Reitoria, 165-13081-970, Campinas SP, Brazil jonatas@nics.unicamp.br;The Automation Institute (CTI/IA), Technological Center for Informatics, Via Dom Pedro I, KM143/6, Campinas SP, Brazil artemis@ia.cti.br
Venue:
Organised Sound
Year:
1999

Citing 2
Cited 1

Genetic algorithms + data structures = evolution programs (3rd ed.)

Genetic algorithms + data structures = evolution programs (3rd ed.)
Vox populi: evolutionary for music evolution

Creative evolutionary systems

On SPAWC: discussion on a musical signal parser and well-formed composer

CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents an end-user interface that allows realtime parametric control of sound events resulting in an interactive environment, in which evolutionary computation is applied to algorithmic composition. The resulting system, Vox Populi, uses genetic algorithms to generate and evaluate a sequence of chords played as MIDI data. Harmonic, tonal and voice range fitness are used to control musical features. Based on the ordering of consonance of musical intervals, the notion of approximating a sequence of notes to its harmonically compatible note or tonal centre is used. This method employs fuzzy formalism and is posited as an optimisation approach based on factors relevant to hearing music.