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Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation
University West, Department of 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. , 10 p.
Keyword [en]
jazz, improvisation, evolution, ACO, TSP
National Category
Musicology Information Science
Research subject
SOCIAL SCIENCE, Informatics
Identifiers
URN: urn:nbn:se:hv:diva-2785OAI: oai:DiVA.org:hv-2785DiVA: diva2:359492
Available from: 2011-01-24 Created: 2010-10-28 Last updated: 2011-01-24Bibliographically approved

Open Access in DiVA

fulltext(212 kB)249 downloads
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File name FULLTEXT02.pdfFile size 212 kBChecksum SHA-512
01dc6c45f232f05fe1685bfd2d1fd36472aa36248f6113773f5ce3eb7f4c20e91f6e7639471cda8b423bbd309e7601dba210bbac7a58b26ae5b2d406fd9a2ddc
Type fulltextMimetype application/pdf

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Bäckman, Kjell
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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More styles
Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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