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

Authors

Aline James
Craig Tweedie, The University of Texas at El PasoFollow
Tanja Magoc, The University of Texas at El PasoFollow
Vladik Kreinovich, The University of Texas at El PasoFollow
Martine Ceberio, The University of Texas at El PasoFollow

Publication Date

4-2010

Comments

Technical Report: UTEP-CS-09-30d

Short version published in: Martine Ceberio (ed.), Abstracts of the Second Workshop on Constraint Programming and Decision Making CoProD'09, El Paso, Texas, November 9-10, 2009, pp. 56-60; a more detailed version published in Proceedings of the IEEE World Congress on Computational Intelligence WCCI'2010, Barcelona, Spain, July 18-23, 2010, pp. 2355-2361; a detailed version to appear in Journal of Uncertain Systems

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.