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Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation

Bäckman, Kjell, 1949- (editor)
Högskolan Väst,Avd för datavetenskap och informatik
 (creator_code:org_t)
Juiz de Fora : EIMAS, 2010
English 10 s.
  • Editorial proceedings (other academic/artistic)
Abstract Subject headings
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  •  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

Subject headings

HUMANIORA  -- Konst -- Musikvetenskap (hsv//swe)
HUMANITIES  -- Arts -- Musicology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)

Keyword

jazz
improvisation
evolution
ACO
TSP
Music
Musikvetenskap
Informatics and systems science
Informatik och systemvetenskap
Informatik
Informatics

Publication and Content Type

vet (subject category)
pro (subject category)

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