Publication Date



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


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.

tr09-30.pdf (117 kB)
Original file: UTEP-CS-09-30

tr09-30c.pdf (140 kB)
First updated version: UTEP-CS-09-30c