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

This paper deals with the distribution network reconfiguration problem in a multi-objective
scope, aiming to determine the optimal radial configuration by means of minimizing the …

The sheer volume of IoT networks being deployed today presents a major “attack surface”
and poses significant security risks at a scale never encountered before. In other words, a …

We propose mixed-integer programming models for fitting univariate discrete data points
with continuous piecewise linear (PWL) functions. The number of approximating function …

Several deterministic methods for convex mixed integer nonlinear programming generate a
polyhedral approximation of the feasible region, and utilize this approximation to obtain trial …

We revisit the joint pricing, supplier selection, and inventory replenishment problem for a
single item in a two‐stage system examined by Adeinat and Ventura (2015) and use the …

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 …

Free-sign pure discrete signomial (FPDS) terms are vital to and are frequently observed in
many nonlinear programming problems, such as geometric programming, generalized …

This article is concerned with global optimization of water supply system scheduling with
pump operations to minimize total energy cost. The scheduling problem is first formulated as …

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