Abstract: This article presents a generalizable methodology for data-driven identification of nonlinear dynamics that bounds the model error in terms of the ...
Abstract: Many critical science, societal, and engineering fields contain large-scale multiobjective optimization problems (LSMOPs), comprised of many decision variables. However, as the number of ...
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