Abstract Recent developments in (Global) Optimization are surveyed in this paper. We
collected and commented quite a large number of recent references which, in our opinion …

The everlasting consumption of fossil fuels with limited reserves amid climate change and
environmental pollution arises public awareness of sustainable development, which calls for …

We describe a simple method to test if a given matrix is copositive by solving a single mixed-
integer linear programming (MILP) problem. This methodology requires no special coding to …

Two-stage stochastic decision problems are characterized by the property that in stage one
part of the decision has to be made before relevant data are observed and the rest of the …

Within the current literature on multi-objective optimization, there is a scarcity of comparisons
between equation-based white-box solvers to evolutionary black-box solvers. It is commonly …

In this paper, we consider a facility location problem where customer demand constitutes
considerable uncertainty, and where complete information on the distribution of the …

Quadratic optimization (QO) has been studied extensively in the literature due to its
applicability in many practical problems. While practical, it is known that QO problems are …

Abstract Model-based oil production systems optimisation under pressure and facility routing
constraints is a testing challenge, especially in the presence of complex downhole wellbore …

Soft sensors are used to calculate the real-time values of process variables which can be
measured in the laboratory only or require expensive online measurement tools. A set of …

This paper describes a new randomized algorithm for calculating local optima in standard
quadratic optimization problems (StQPs) over the standard simplex. The new algorithm …