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  • 1.
    Bäckman, Kjell
    University West, Department of Economics and IT, Division of Computer Science and Informatics.
    Ant Colony Optimization and Evolutionary Algorithms Applied to Jazz Solo Improvisation2010Conference 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

  • 2.
    Bäckman, Kjell
    University West, Department of Economics and IT, Divison of Informatics.
    Automatic fitness in generative jazz soloimprovisation2012In: EIMAS 2012 Conference Proceedings, Juiz de Fora, Brazil, 2012, p. 1-10Conference paper (Refereed)
    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.

  • 3.
    Bäckman, Kjell
    University West, Department of Economics and Informatics, Divison of Informatics.
    Automatic Fitness in generative jazzimprovisation2008In: Proc. of the International Computer Music Conference (ICMC) 2008, Belfast, Northern Ireland, 2008., Belfast: ICMC , 2008, p. 1--Conference paper (Refereed)
    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 and alignment to different optimal intensity curves.

  • 4.
    Bäckman, Kjell
    University West, Department of Economics and IT, Division of Computer Science and Informatics.
    Evolutionary Jazz Harmony: A New Jazz Harmony System2008In: BIOINSPIRED OPTIMIZATION METHODS AND THEIR APPLICATIONS: Proceedings of the Third International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2008 / [ed] Bogdan Filipič & Jurij Šilc, Ljubljana: Jožef Stefan Institute , 2008, p. 133-140Conference paper (Other academic)
  • 5. Bäckman, Kjell
    et al.
    Dahlstedt, Palle
    GU, IT-universitetet.
    Generative Jazz Improvisation2008In: EvoWorkshops 2008, 2008, p. 371-380Conference paper (Refereed)
    Abstract [en]

    This paper describes a system developed to create computer based jazz improvisation solos. The generation of the improvisation material uses interactive evolution, based on a dual genetic representation: a basic melody line representation, with energy constraints ("rubber band") and a hierarchic structure of operators that processes the various parts of this basic melody. To be able to listen to and evaluate the result in a fair way, the computer generated solos have been imported into a musical environment to form a complete jazz composition. The focus of this paper is on the data representations developed for this specific type of music. This is the first published part of an ongoing research project in generative jazz, based on probabilistic and evolutionary strategies.

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