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 …

This paper presents a new two-phase method for solving convex mixed-integer nonlinear
programming (MINLP) problems, called Decomposition-based Outer Approximation …

We investigate a multi-commodity capacitated facility location problem involving
sustainability concerns (eg, restrained carbon emission). In addition, this problem …

Contagion models are ubiquitous in epidemiology, social sciences, engineering, and
management. This paper formulates a prescriptive contagion analytics model where a …

Different versions of polyhedral outer approximation are used by many algorithms for mixed-
integer nonlinear programming (MINLP). While it has been demonstrated that such methods …

Generating polyhedral outer approximations and solving mixed-integer linear relaxations
remains one of the main approaches for solving convex mixed-integer nonlinear …

In this paper, an open-source solver for mixed-integer nonlinear programming (MINLP)
problems is presented. The Supporting Hyperplane Optimization Toolkit (SHOT) combines a …

Energy system optimization models are typically large models which combine sub-models
which range from linear to very nonlinear. Column generation (CG) is a classical tool to …

This work attempts to combine the strengths of two major technologies that have matured
over the last three decades: global mixed-integer nonlinear optimization and branch-and …

Most industrial optimization problems are sparse and can be formulated as block-separable
mixed-integer nonlinear programming (MINLP) problems, defined by linking low …