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Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization

  • Aline Jaimes
  • Craig Tweedy
  • Tanja Magoc
  • Vladik Kreinovich
  • Martine Ceberio
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 539)

Abstract

Using the problem of selecting the best location for a meteorological tower as an example, we show that in multi-objective optimization under constraints, the traditional weighted average approach is often inadequate. We also show that natural invariance requirements lead to a more adequate approach – a generalization of Nash’s bargaining solution.

Keywords

Multiobjective Optimization Bargaining Solution Adequate Approach Meteorological Tower Multiple Criterion Optimization 
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References

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    Roth, A.: Axiomatic Models of Bargaining. Springer, Berlin (1979)CrossRefzbMATHGoogle Scholar
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    Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization. Academic Press, Orlando (1985)zbMATHGoogle Scholar
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    Steuer, E.E.: Multiple Criteria Optimization: Theory, Computations, and Application. John Wiley & Sons, New York (1986)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Aline Jaimes
    • 1
  • Craig Tweedy
    • 1
  • Tanja Magoc
    • 1
  • Vladik Kreinovich
    • 1
  • Martine Ceberio
    • 1
  1. 1.University of Texas at El PasoEl PasoUSA

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