Seminar - “New Solution and Formulation Approaches for Process Design and Operation under Uncertainty” by Xiang Li, Department of Chemical Engineering, Queen's University
ABSTRACT: Mathematical programming methods have been widely adopted for process design and operation, as they provide systematic means to find optimal or feasible design/operation decisions that may not be easily seen from qualitative or simple quantitative analysis. However, mathematical programming formulations of process design and operation problems are usually nonconvex, implying that an optimal, or even a feasible solution, is difficult to obtain.