In this paper, we present a review of deterministic software for solving convex MINLP
problems as well as a comprehensive comparison of a large selection of commonly …

A wide range of problems arising in practical applications can be formulated as Mixed-
Integer Nonlinear Programs (MINLPs). For the case in which the objective and constraint …

Many optimal decision problems in scientific, engineering, and public sector applications
involve both discrete decisions and nonlinear system dynamics that affect the quality of the …

Demand response (DR) is very important in the future smart grid, aiming to encourage
consumers to reduce their demand during peak load hours. However, if binary decision …

The uncapacitated facility location (UFL) problem is one of the most famous and most
studied problems in the operations research literature. Given a set of potential facility …

An intelligent demand response (DR) program is developed for multi-energy industrial micro-
grid consisting of manufacturing facilities, photovoltaic (PV) panels, and battery energy …

In this paper, we present recent developments in the global optimization software BARON to
address problems with integer variables. A primary development was the addition of mixed …

We study a hybrid strategy that uses both process flexibility and finished goods inventory for
supply chain risk mitigation. The interplay between process flexibility and inventory is …

This article first reviews recent developments in process synthesis and discusses some of
the major challenges in the theory and practice in this area. Next, the article reviews key …

Benders is one of the most famous decomposition tools for Mathematical Programming, and
it is the method of choice eg, in mixed-integer stochastic programming. Its hallmark is the …