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Niching and elitist models for MOGAs

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Parallel Problem Solving from Nature — PPSN V (PPSN 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1498))

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Abstract

This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary design optimization of wing planform shape. Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance.

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Authors and Affiliations

  1. Department of Aeronautics and Space Engineering, Tohoku University, Sendai, Japan

    Shigeru Obayashi, Shinichi Takahashi & Yukihiro Takeguchi

Authors
  1. Shigeru Obayashi
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  2. Shinichi Takahashi
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  3. Yukihiro Takeguchi
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Editor information

Agoston E. Eiben Thomas Bäck Marc Schoenauer Hans-Paul Schwefel

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© 1998 Springer-Verlag Berlin Heidelberg

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Obayashi, S., Takahashi, S., Takeguchi, Y. (1998). Niching and elitist models for MOGAs. In: Eiben, A.E., Bäck, T., Schoenauer, M., Schwefel, HP. (eds) Parallel Problem Solving from Nature — PPSN V. PPSN 1998. Lecture Notes in Computer Science, vol 1498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056869

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  • DOI: https://doi.org/10.1007/BFb0056869

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65078-2

  • Online ISBN: 978-3-540-49672-4

  • eBook Packages: Springer Book Archive

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