Intelligent offloading of computation-intensive tasks to a mobile cloud server provides an
effective mean to expand the usability of wireless devices and prolong their battery life …

One of the challenging problems when studying complex networks is the detection of sub-
structures, called communities. Network communities emerge as dense parts, while they …

The mixed integer polynomial programming problem is reformulated as a multi-parametric
programming problem by relaxing integer variables as continuous variables and then …

This paper presents a new relaxation technique to globally optimize mixed-integer
polynomial programming problems that arise in many engineering and management …

We investigate the use of the polynomial B-spline form for unconstrained global optimization
of multivariate polynomial nonlinear programming problems. We use the B-spline form for …

This book focuses on the issue of optimizing radio resource allocation (RRA) and user
admission control (AC) for multiple multicasting sessions on a single high altitude platform …

In this paper, multivariate polynomials in the Bernstein basis over a box (tensorial Bernstein
representation) are considered. A new matrix method for the computation of the polynomial …

This paper presents a framework for the optimal scheduling problem of combined cycle gas
turbine (CCGT) plants. At the outset, a model is developed in a mixed-logical dynamical …

We present an improved Bernstein global optimization algorithm to solve polynomial mixed-
integer nonlinear programming (MINLP) problems. The algorithm is of branch-and-bound …

This article presents an algorithm based on the Bernstein form of polynomials for solving the
optimal power flow (OPF) problem in electrical power networks. The proposed algorithm …