Most of the decisions we need to take in life, in both professional and personal contexts, require us to consider a number of performance criteria and constraints. Many-objective optimization refers to the process of identifying optimal compromise solutions for these problems. This project will address one or more of the grand challenges facing many-objective optimization methods such as: robustness, efficient exploitation of high fidelity simulations, and collaborative or distributed decision-making - with application to product and process design settings.
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