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Measurement of Anisotropy in Fitness Landscapes

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Computer Aided Systems Theory - EUROCAST 2013 (EUROCAST 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8111))

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Abstract

In this work we elaborate on the measurement of anisotropy in fitness landscapes by defining an extension over arbitrary base measures. This rather pragmatic method’s soundness is justified by statistical argument and tested on several existing and new fitness landscapes. Moreover, new variants of the popular NK landscapes are introduced that exhibit varying degrees of anisotropy.

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Author information

Authors and Affiliations

  1. University of Applied Sciences Upper Austria, Softwarepark 11, 4232, Hagenberg, Austria

    Erik Pitzer & Michael Affenzeller

Authors
  1. Erik Pitzer
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  2. Michael Affenzeller
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Editors and Affiliations

  1. Universidad de Las Palmas de Gran Canaria, Instituto Universitario de Ciencias y Tecnologías Cibernéticas, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz  & Alexis Quesada-Arencibia  & 

  2. Johannes Kepler Universität Linz, Altenbergerstrasse 69, 4040, Linz, Austria

    Franz Pichler

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Pitzer, E., Affenzeller, M. (2013). Measurement of Anisotropy in Fitness Landscapes. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory - EUROCAST 2013. EUROCAST 2013. Lecture Notes in Computer Science, vol 8111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53856-8_43

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  • DOI: https://doi.org/10.1007/978-3-642-53856-8_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53855-1

  • Online ISBN: 978-3-642-53856-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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