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

In this focus overview, the main types and directions of engineering, methods and
techniques of intensification of chemical process systems (CPS) and process optimization of …

This manuscript introduces ANTIGONE, Algorithms for coNTinuous/Integer Global
Optimization of Nonlinear Equations, a general mixed-integer nonlinear global optimization …

This paper is concerned with the optimal influenza vaccine distribution in a heterogeneous
population consisting of multiple subgroups. We employ a compartmental model for …

We address nonconvex bilinear problems where the main objective is the computation of a
tight lower bound for the objective function to be minimized. This can be obtained through a …

This paper presents a fuzzy bi-objective bi-level model with a price-dependent demand for
the network design of a closed-loop supply chain in the presences of random disruptions at …

We address an intra-supply chain competition where a producer and resellers competing to
achieve their goals, while taking into consideration the uncertainties and disruption risks. We …

In this paper, we present a brief overview of enterprise-wide optimization and challenges in
multiscale temporal modeling and integration of different models for the levels of planning …

The efficacy of robust optimization spans a variety of settings with uncertainties bounded in
predetermined sets. In many applications, uncertainties are affected by decisions and …

This paper describes a new instance library for quadratic programming (QP), ie, the family of
continuous and (mixed)-integer optimization problems where the objective function and/or …