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Modern Computational Approaches to Nonlinear Discrete Optimization and Applications in Process Systems Engineering
2022
Nonlinear discrete optimization problems arise in many different disciplines, given the modeling versatility associated with nonlinear constraints and discrete decision variables. In Process Systems Engineering, such problems appear in applications ranging from optimal process design and synthesis, process planning, scheduling, and control, and molecular design. Albeit their many applications that arise from its universal modeling capabilities, finding optimal solutions to these optimization
doi:10.1184/r1/19146305.v1
fatcat:dvqfoztozjes7ejmoldd2smrha