Global Optimization for Integrated Design and Control of Computationally Expensive Process Models

Jose A. Egea, Dirk Vries, Antonio A. Alonso, Julio R. Banga
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
more » ... he model, resulting in unaffordable computation times. As an alternative, one may consider global optimization methods which employ surrogate-based approaches to reduce computation times, and which require no knowledge of the problem structure. A challenging Wastewater Treatment
doi:10.1021/ie0705094 fatcat:6l5ta6kzpbhrpiym2brpxmkpwi