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Global Optimization for Integrated Design and Control of Computationally Expensive Process Models
2007
Industrial & Engineering Chemistry Research
The problem of integrated design and control optimization of process plants is discussed in this paper. We consider it as a nonlinear programming problem subject to differential-algebraic constraints. This class of problems is frequently (i) non-convex and (ii) "costly" (i.e. computationally expensive to evaluate). Thus, on the one hand, local optimization techniques usually fail to locate the global solution and, on the second hand, most global optimization methods require many simulations of
doi:10.1021/ie0705094
fatcat:6l5ta6kzpbhrpiym2brpxmkpwi