Title
Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-Objective Constraint Optimization
Publication Date
1-1-2014
Document Type
Book Chapter
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.
COinS
Comments
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