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Populations of Populations: Composing with Multiple Evolutionary Algorithms

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Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7247))

Abstract

We present a music composition system in which musical motives are treated as individuals within a population, and that the audible evolution of populations over time are of musical interest. The system additionally uses genetic algorithms to generate high level musical aspects that control how the population is presented, and how it may be combined with other populations. These algorithms feature fitness functions that adapt based upon context: specifically, by using an analysis of the evolving population, the fitness functions adjust their constituent parameters in selecting strong individuals.

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Author information

Authors and Affiliations

  1. School for the Contemporary Arts, Simon Fraser University, Vancouver, Canada

    Arne Eigenfeldt

  2. School for Interactive Arts and Technology, Simon Fraser University, Surrey, Canada

    Philippe Pasquier

Authors
  1. Arne Eigenfeldt
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  2. Philippe Pasquier
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Editor information

Editors and Affiliations

  1. Faculty of Sciences and Technology, Department of Informatics Engineering, University of Coimbra, Pólo II - Pinhal de Marrocos, 3030, Coimbra, Portugal

    Penousal Machado

  2. School of Computer Science, Department of Communications and Information Technologies, University of A Coruña, Campus de Elviña, 15071 A, Coruña, Spain

    Juan Romero  & Adrian Carballal  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Eigenfeldt, A., Pasquier, P. (2012). Populations of Populations: Composing with Multiple Evolutionary Algorithms. In: Machado, P., Romero, J., Carballal, A. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2012. Lecture Notes in Computer Science, vol 7247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29142-5_7

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  • DOI: https://doi.org/10.1007/978-3-642-29142-5_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29141-8

  • Online ISBN: 978-3-642-29142-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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