This paper has as a major objective to present a unified overview and derivation of mixed-
integer nonlinear programming (MINLP) techniques, Branch and Bound, Outer …

This paper presents an overview of mixed-integer nonlinear programming techniques by first
providing a unified treatment of the Branch and Bound, Outer-Approximation, Generalized …

This paper presents an overview of mixed-integer nonlinear programming techniques by first
providing a unified treatment of the Branch and Bound, Outer-Approximation, Generalized …

Generalized disjunctive programming (GDP) has been introduced recently as an alternative
model to MINLP for representing discrete/continuous optimization problems. The basic idea …

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 …

This paper addresses the relaxations in alternative models for disjunctions, big-M and
convex hull model, in order to develop guidelines and insights when formulating Mixed …

Raman and Grossmann [Raman, R., & Grossmann, IE (1994). Modeling and computational
techniques for logic based integer programming. Computers and Chemical Engineering, 18 …

This paper treats the solution of nonlinear optimization problems involving discrete decision
variables, also known as generalized disjunctive programming (GDP) or mixed-integer …

Discrete-continuous non-linear optimization models are frequently used to formulate
problems in process system engineering. Major modeling alternatives and solution …

This paper addresses two major issues related to the convergence of generalized Benders
decomposition which is an algorithm for the solution of mixed integer linear and nonlinear …