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A GA-Based Control Strategy to Create Music with a Chaotic System

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Applications of Evolutionary Computing (EvoWorkshops 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5484))

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Abstract

Chaotic systems can be used to generate sounds and music. Establishing a musical interaction with such systems is often a difficult task. Our research aims at improve the extent of interaction provided by a generative music system by using an evolutionary methods. A musician can hear and imitate what the generative system produces; therefore, we are interested in defining a control strategy to allow the generative music system to imitate the musical gesture provided by the musician.

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Author information

Authors and Affiliations

  1. Department of Linguistics, University of Calabria, Cubo 17b Via P. Bucci, Arcavacata di Rende, (CS) 87036, Italy

    Costantino Rizzuti & Eleonora Bilotta

  2. Department of Mathematics, University of Calabria, Cubo 30b Via P. Bucci, Arcavacata di Rende, (CS) 87036, Italy

    Pietro Pantano

Authors
  1. Costantino Rizzuti
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  2. Eleonora Bilotta
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  3. Pietro Pantano
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Editor information

Editors and Affiliations

  1. Department of Animal Production Epidemiology and Ecology, University of Torino, Via Leonardo da Vinci 44, 10095, Grugliasco, Italy

    Mario Giacobini

  2. Quinn School of Business, Belfield, University College Dublin, Dublin 4, Ireland

    Anthony Brabazon

  3. Department of Computer Engineering, University of Parma, Viale Usberti 181/a, 43100, Parma, Italy

    Stefano Cagnoni

  4. Dalla Molle Institute for Artificial Intelligence (IDSIA), Gallelria 2, 6928, Manno-Lugano, Switzerland

    Gianni A. Di Caro

  5. School of Engineering and Applied Science,Aston Triangle, Aston University, B4 7ET, Birmingham, UK

    Anikó Ekárt

  6. Complex Adaptive Systems Group, Instituto Tecnológico de Informática, Ciudad PolitŽcnica de la Innovacin, Edif. 8G Acceso B, 46022, Valencia, Spain

    Anna Isabel Esparcia-Alcázar

  7. Next Generation Itelligent Networks Research Center (nexGIN RC), National University of Computer and Emerging Sciences (NUCES), Islamabad, Pakistan

    Muddassar Farooq

  8. Faculty of Economics and Social Sciences, Helmut-Schmidt-University, Holstenhofweg 85, 22043, Hamburg, Germany

    Andreas Fink

  9. Department of Informatics Engineering, Polo II - Pinhal de Marrocos, University of Coimbra, 3030 - 290, Coimbra, Portugal

    Penousal Machado

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Rizzuti, C., Bilotta, E., Pantano, P. (2009). A GA-Based Control Strategy to Create Music with a Chaotic System. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_66

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  • DOI: https://doi.org/10.1007/978-3-642-01129-0_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01128-3

  • Online ISBN: 978-3-642-01129-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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