ABSTRACT
Interactive methods are approaches to solve multiobjective optimization models where the decision maker (DM) provides preference information during the (embedded) iterative process to progress towards the “best” solution. These methods iterate between a calculation phase and a dialog phase between the facilitator and the DM. Their success depends very much on the DM’s willingness to take part in the process. This chapter addresses these methods in general and will present with detail the STEp Method (STEM). This method is the natural follow up from distance minimization and reduced feasible region methods studied in the previous chapters. Some examples are solved highlighting STEM main features and its limitations. Other interactive methods are briefly presented: Zionts-Wallenious method, the Pareto Race method, and the NAUTILUS method. This chapter ends with a set of exercises.
