Complex problems usually require the simultaneous consideration of multiple performance criteria within multidisciplinary environments. Since the middle of the 1990s, the field of Evolutionary Multi-Criterion Optimization (EMO) has used a population-based heuristic approach for addressing such problems. This is evidenced by the rapidly growing number of research publications and by the availability of a number of related software tools and users (academia and industry). For some time now, EMO researchers have understood the necessity to develop and integrate decision making aspects into EMO approaches, and so the need for cross-fertilization between EMO and the Multiple Criteria Decision Making (MCDM) and Multiple Criteria Decision Aid (MCDA) communities has become apparent. The aim of this special session is to continue the integration and blending of ideas between EMO, MCDM and MCDA researchers, and to stimulate engagement with the user community.