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

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

This paper presents an overview of the research progress in deterministic global
optimization during the last decade (1998–2008). It covers the areas of twice continuously …

With the increasing reliance on modeling optimization problems in practical applications, a
number of theoretical and algorithmic contributions of optimization have been proposed. The …

Various optimization problems in engineering and management are formulated as nonlinear
programming problems. Because of the nonconvexity nature of this kind of problems, no …

Alongside the rise of 'last-mile'delivery in contemporary urban logistics, drones have
demonstrate commercial potential, given their outstanding triple-bottom-line performance …

A new deterministic algorithm for solving convex mixed-integer nonlinear programming
(MINLP) problems is presented in this paper: The extended supporting hyperplane (ESH) …

This paper presents a global optimization approach for solving signomial geometric
programming problems. In most cases nonconvex optimization problems with signomial …

The use of the mathematical programming approach to the synthesis of chemical processes
has many valuable creative principles, ie optimality, feasibility and integrality of solutions …