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Evolutionary Multiobjective Optimization (EMO), i.e., the simultaneous optimization of 2 or more objective functions by means of bio-inspired search heuristics, has become one of the main research fields in evolutionary computation in recent years and as such also gained interest from the classical field of multicriteria decision making (MCDM). Together with its fast development in practice, also theoretical analyses of EMO gained more and more interest. Besides several theoretical papers at international conferences such as GECCO or FOGA, also the current special issue of the Evolutionary Computation Journal devoted to "Theoretical Aspects of Evolutionary Multi-Objective Optimization" underpins this development.
To foster the growing interest of theory in EMO, the workshop aims at bringing together theoreticians both working in the field of EMO and from single-objective optimization as well as EMO practitioners. Besides presenting the newest theoretical results about EMO, the workshop aims at identifying a broad list of challenging questions to be tackled in the near future for which a collaboration between theoreticians and practitioners is expected to be highly beneficial. In this regard, we would like to invite both theoreticians and practitioners to talk and discuss about the latest developments in the field of theoretical analysis of evolutionary multiobjective optimization. It is highly appreciated if challenging questions and interesting new research directions are identified. The workshop covers all theoretical topics of EMO, including but not limited to