Review of mixed-integer nonlinear and generalized disjunctive programming methods

Abstract

This work presents a review of the main deterministic mixed-integer nonlinear programming (MINLP) solution methods for problems with convex and nonconvex functions. An overview for deriving MINLP formulations through generalized disjunctive programming (GDP), which is an alternative higher-level representation of MINLP problems, is also presented. A review of solution methods for GDP problems is provided. Some relevant applications of MINLP and GDP in process systems engineering are described in this work. © 2014 Wiley-VCH Verlag GmbH and Co. KGaA, Weinheim.