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Composition of Music and Financial Strategies via Genetic Programming

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Genetic Programming Theory and Practice VIII

Part of the book series: Genetic and Evolutionary Computation ((GEVO,volume 8))

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Abstract

We present two applications of genetic programming to real world problems: musical composition and financial portfolio optimization. In each of these applications, a specialized genome representation is used in order to break the problem down into smaller instances and put them back together. Results showing the applicability of the approaches are presented.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, The University of Tokyo, Tokyo, Japan

    Hitoshi Iba & Claus Aranha

Authors
  1. Hitoshi Iba
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  2. Claus Aranha
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Editor information

Editors and Affiliations

  1. Center for the Study of Complex Systems, University of Michigan, West Hall 323, Ann Arbor, 48109, Michigan, USA

    Rick Riolo

  2. Solido Design Automation, Inc., Research Drive 102-116, Saskatoon, S7N 3R3, Saskatchewan, Canada

    Trent McConaghy

  3. , Dept. of Mathematics & Computer, University of Antwerp, Building G, Science Campus Middelhe 2020, Antwerpen, Belgium

    Ekaterina Vladislavleva

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Iba, H., Aranha, C. (2011). Composition of Music and Financial Strategies via Genetic Programming. In: Riolo, R., McConaghy, T., Vladislavleva, E. (eds) Genetic Programming Theory and Practice VIII. Genetic and Evolutionary Computation, vol 8. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7747-2_13

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  • DOI: https://doi.org/10.1007/978-1-4419-7747-2_13

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-7746-5

  • Online ISBN: 978-1-4419-7747-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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