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 …

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

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 …

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

In this paper, we study power-efficient resource allocation for multicarrier non-orthogonal
multiple access systems. The resource allocation algorithm design is formulated as a non …

In many engineering optimization problems, the number of function evaluations is severely
limited by time or cost. These problems pose a special challenge to the field of global …

Optimization has been expanding in all directions at an astonishing rate during the last few
decades. New algorithmic and theoretical techniques have been developed, the diffusion …

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

Optimization software provides better design and development of optimization solutions for
real-life problems. The software generates different solutions under different constraints. An …

In this paper, the deterministic global optimization algorithm, αBB (α-based Branch and
Bound) is presented. This algorithm offers mathematical guarantees for convergence to a …