This manuscript reviews recent advances in deterministic global optimization for Mixed-
Integer Nonlinear Programming (MINLP), as well as Constrained Derivative-Free …

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 …

A systematic framework is presented for the representation of superstructures and derivation
of optimization models in process synthesis. The state task network (STN) and state …

This paper introduces the global mixed-integer quadratic optimizer, GloMIQO, a numerical
solver addressing mixed-integer quadratically-constrained quadratic programs to ε-global …

The first guide to compile current research and frontline developments in the science of
process intensification (PI), Re-Engineering the Chemical Processing Plant illustrates the …

Highlights•Comparison of Process Synthesis (PS), Process Optimization (PO) and Process
Intensification (PI).•Review and evaluation of methods to perform PS, PO, and PI.•Literature …

This paper presents new definitions for process intensification identifying two main
categories called unit intensification and plant intensification. This paper also proposes …

A generalized modeling framework for process synthesis alternatives is proposed, based on
fundamental mass/heat‐transfer principles. A multipurpose mass/heat‐transfer module is …

Our recent work globally optimized two classes of large-scale pooling problems: a
generalized pooling problem treating the network topology as a decision variable and an …

In this paper, a stochastic programming framework is presented to address process
synthesis problems under uncertainty. The framework is based on a two-state stochastic …