ABSTRACT
Overview This case study describes an example ofmultiobjective optimization. In multiobjective optimization, models are considered that involve multiple objectives subject to both ‘hard’ and ‘soft’ constraints. The multiple objectives usually conflict with each other, and so optimizing one objective function is at the expense of the others. Therefore, one cannot expect to achieve optimal values for all objective functions simultaneously, but a ‘best’ value somewhere in between the individual optimal values. We will use a method called goal optimization to determine this ‘best’ value.
