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 …

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 …

Many industrial problems can be naturally formulated using mixed integer non-linear
programming (MINLP) models and can be solved by spatial Branch&Bound (sBB) …

This survey covers the state of the art of techniques for solving general-purpose constrained
global optimization problems and continuous constraint satisfaction problems, with …

Recently, the area of Mixed Integer Nonlinear Programming (MINLP) has experienced
tremendous growth and a flourish of research activity. In this article we will give a brief …

Nonlinearoptimizationproblemscontainingb… are called mixed integer nonlinear programs
(MINLP). Such problems arise in many? elds, such as process industry, engineering design …

We present numerical results of a comparative study of codes for nonlinear and nonconvex
mixed-integer optimization. The underlying algorithms are based on sequential quadratic …

This paper deals with the optimization of the coupling between a natural gas combined cycle
(NGCC) plant and a post-combustion CO 2 capture process by minimizing the mitigation …

This paper focuses on the optimization of the design and operation of combined heat and
power plants (cogeneration plants). Due to the complexity of such an optimization task …

We present a Branch and Cut algorithm of the software package LaGO to solve nonconvex
mixed-integer nonlinear programs (MINLPs). A linear outer approximation is constructed …