Research on evolutionary multiobjective optimization (EMO) started in the mid 1980s and---opposed to many multicriteria decision making (MCDM) approaches---deals with stochastic algorithms that are able to find multiple near Pareto-optimal solutions in a single algorithm run. As both EMO and MCDM deal with multiobjective optimization problems, it is natural to bring these two research fields together.
The integration of the upcoming EMO session into the mainstream MCDM'2011 conference is therefore a nice opportunity to bring together researchers from the two main research fields in multiobjective optimization and decision making. The main focus of the session is to present the most recent advances in the EMO field to MCDM researchers in order to establish and foster collaborations between the two fields.
Kalyanmoy Deb and Sunith Bandaru have been awarded for the best presentation by the MCDM'2011 participants. Congratulations!
Associated with the EMO session is an upcoming Special Issue of the Journal of Multi Criteria Decision Analysis with the focus of presenting the current state-of-the-art in EMO to MCDM researchers. Details can be found on the Special Issue page.