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

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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

  1. Ehrgott, M., Gandibleux, X. (eds.): Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys. Springer, Heidelberg (2002)

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  2. Nash, J.: Two-Person Cooperative Games. Econometrica 21, 128–140 (1953)

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  3. Roth, A.: Axiomatic Models of Bargaining. Springer, Berlin (1979)

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  4. Sawaragi, Y., Nakayama, H., Tanino, T.: Theory of Multiobjective Optimization. Academic Press, Orlando (1985)

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  5. Steuer, E.E.: Multiple Criteria Optimization: Theory, Computations, and Application. John Wiley & Sons, New York (1986)

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© 2014 Springer International Publishing Switzerland

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Jaimes, A., Tweedy, C., Magoc, T., Kreinovich, V., Ceberio, M. (2014). Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization. In: Ceberio, M., Kreinovich, V. (eds) Constraint Programming and Decision Making. Studies in Computational Intelligence, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-04280-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-04280-0_7

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04279-4

  • Online ISBN: 978-3-319-04280-0

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