Complex problems usually require the simultaneous consideration of multiple performance criteria within multidisciplinary environments. Multi-objective optimization (MOO) and, especially, evolutionary multi-objective optimization (EMO), is now recognized as possessing the potential to have a major impact in 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). As part of this development, Multi Criteria Decision Making (MCDM), based on the results obtained through EMO/MOO, is an important challenge.
The Consortium suggested here, has identified a number of very novel research directions within EMO/MOO, which promise a major step-change in the way that decision-making in complex interdisciplinary problems may be successfully realised. These directions not only will attract the research community but will also enhance its uptake by industry and other businesses.
The Consortium consists of an interdisciplinary group of EMO pioneers and world-class researchers together with enthusiastic early-career researchers who are excited by this research field and it's potential. The Consortium, possess remarkable complementarity with regard to theoretical and practical aspects of the research, and the fact that some pairings have already generated important results reinforces our conviction that Consortium research will make outstanding contributions to the field of MCDM. Our research will be underpinned by a strong programme of knowledge exchange, involving such activities as seminars, workshops, demonstrators and e-learning tools, aimed at both research institutions, industry and related businesses. The Consortium will strive to enhance science by providing a supporting environment for experienced as well as early stage researchers. This will be realised through the free exchange of knowledge across organizations, nations and continents.
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