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Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation
University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
2010 (English)Conference proceedings (editor) (Other academic)
Abstract [en]

 

This paper describes an experiment of using a variant of the TSP (Traveling Salesman Problem) of ACO (Ant Colony Optimization) and automatic fitness in the evolutionary algorithm to create jazz improvisation solos. It is a sub-project of our overall EJI (Evolutionary Jazz Improvisation) project, where we try to explore the inner nature of jazz music and model jazz improvisation solos and jazz harmony in the computer by means of evolutionary algorithms, swarm theory, chaos theory, neural networks, memetics and other kinds of heuristics

Place, publisher, year, edition, pages
Juiz de Fora: EIMAS , 2010. , p. 10
Keywords [en]
jazz, improvisation, evolution, ACO, TSP
National Category
Musicology Information Systems
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
URN: urn:nbn:se:hv:diva-2785OAI: oai:DiVA.org:hv-2785DiVA, id: diva2:359492
Available from: 2011-01-24 Created: 2010-10-28 Last updated: 2020-03-23Bibliographically approved

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fulltext(212 kB)459 downloads
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Bäckman, Kjell

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CiteExportLink to record
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Citation style
  • apa
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Language
  • de-DE
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  • en-US
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Output format
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