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Automatic fitness in generative jazz soloimprovisation
University West, School of Business, Economics and IT, Divison of Informatics.
2012 (English)In: EIMAS 2012 Conference Proceedings, Juiz de Fora, Brazil, 2012, p. 1-10Conference paper, Published paper (Refereed) [Artistic work]
Abstract [en]

Recent work by the author has revealed the need for an automatic fitness function in the evolutionary algorithm

for generation of jazz solos. A computer based automatic fitness function enables greater populations and a great

number of generations within a manageable time. This paper describes how the automatic fitness function is

implemented using score calculation based on specific events recognized in the solo line The evaluation function

is based on the author’s solo analysis of 73 great masters’ solo characteristics and their techniques used for buildup

of jazz solos.

Place, publisher, year, edition, pages
Juiz de Fora, Brazil, 2012. p. 1-10
Keywords [en]
Evolution algorithm jazz
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
ENGINEERING, Computer engineering
Identifiers
URN: urn:nbn:se:hv:diva-4820OAI: oai:DiVA.org:hv-4820DiVA, id: diva2:571709
Conference
EIMAS 2012
Available from: 2012-12-10 Created: 2012-11-23 Last updated: 2020-03-23Bibliographically approved

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EIMAS 2012(143 kB)673 downloads
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Bäckman, Kjell

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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