Latin Abstract :
This paper presents an overview of the recent advances in deterministic global optimization approaches and their applications in
the areas of Process Design and Control. The focus is on global optimization methods for (a) twice-dierentiable constrained
nonlinear optimization problems, (b) mixed-integer nonlinear optimization problems, and (c) locating all solutions of nonlinear
systems of equations. Theoretical advances and computational studies on process design, batch design under uncertainty, phase
equilibrium, location of azeotropes, stability margin, process synthesis, and parameter estimation problems are discussed.
NaturalLanguageKeyword :
global optimization , Locating all solutions , aBB approach , Designand control , Twice di?erentiable NLPs , Mixed-integer nonlinear optimization