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International Conference on Learning and Intelligent Optimization

LION 2014: Learning and Intelligent Optimization pp 153–156Cite as

An Aspiration Set EMOA Based on Averaged Hausdorff Distances

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8426))

Abstract

We propose an evolutionary multiobjective algorithm that approximates multiple reference points (the aspiration set) in a single run using the concept of the averaged Hausdorff distance.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, TU Dortmund University, Dortmund, Germany

    Günter Rudolph

  2. Department of Computer Science, CINVESTAV, Mexico City, Mexico

    Oliver Schütze

  3. Department of Information Systems, University of Münster, Münster, Germany

    Christian Grimme & Heike Trautmann

Authors
  1. Günter Rudolph
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  2. Oliver Schütze
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  3. Christian Grimme
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  4. Heike Trautmann
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Corresponding author

Correspondence to Günter Rudolph .

Editor information

Editors and Affiliations

  1. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Panos M. Pardalos

  2. AT&T Labs Research, Middletown, New Jersey, USA

    Mauricio G.C. Resende

  3. University of Florida, Gainesville, Florida, USA

    Chrysafis Vogiatzis

  4. Department of Industrial and Systems Engineering, University of Florida, Gainesville, Florida, USA

    Jose L. Walteros

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© 2014 Springer International Publishing Switzerland

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Rudolph, G., Schütze, O., Grimme, C., Trautmann, H. (2014). An Aspiration Set EMOA Based on Averaged Hausdorff Distances. In: Pardalos, P., Resende, M., Vogiatzis, C., Walteros, J. (eds) Learning and Intelligent Optimization. LION 2014. Lecture Notes in Computer Science(), vol 8426. Springer, Cham. https://doi.org/10.1007/978-3-319-09584-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-09584-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09583-7

  • Online ISBN: 978-3-319-09584-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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