NOMAD is software that implements the MADS algorithm (Mesh Adaptive Direct Search) for black-box optimization under general nonlinear constraints. Black-box ...

Traditionally, IP Network planning and design is mostly based on average delay or loss constraints which can often be easily calculated. Jitter, on the othe...

This paper develops a dynamic model to determine a firm's optimal risk management strategy when it faces uncertainty about its future profitability and inves...

An automatic method for constructing linear relaxations of constrained global optimization problems is proposed. Such a construction is based on affine and i...

The integrated crew scheduling (ICS) problem consists of determining, for a set of available crew members, least-cost schedules that cover all flights and re...

The multi-activity assignment problem consists of assigning interruptible activities to given work shifts so as to match as much as possible for each activit...

The purpose of this paper is to present and solve a new, important planning problem faced by many shipping companies dealing with the transport of bulk produ...

The vehicle routing problem with time windows VRPTW consists of finding least-cost vehicle routes to service given customers exactly once each while satisfyi...

A positive basis is a minimal set of vectors whose nonnegative linear combinations span the entire space R<i>ⁿ</i>. Interest in positive bases wa...

Climate change is one of the greatest challenges facing our planet in the foreseeable future and despite the urgency of the situation global GHG emissions ...

In this paper we establish the definition of the <i>set of &epsilon;-proper equilibria</i> of a bimatrix game. We define a 0-1 mixed quadratic program to ge...

Dans cet article, on raconte l'histoire de l'équipe GENCOL et du logiciel d'optimisation du même nom. C'est avant tout le récit d'une collaboration qui se po...

Traditionally, the airline crew scheduling problem has been decomposed into a crew pairing and a crew assignment problem that are solved sequentially. The f...

The main goal of this paper is to bring a contribution in order to facilitate automatic refinement of Bimatrix Game Nash extreme equilibria. We show how maxi...

We introduce the OPAL framework in which the identification of good algorithmic parameters is interpreted as a black box optimization problem whose variables...

Recent advances in coupling novel optimization methods to large-scale computing problems have opened the door to tackling a diverse set of physically realist...

In several companies such as large retail stores, the employees perform different activities (e.g., cashier or clerk in a specific department) to respond to ...

Relationships between the diameter of a set of <i>n</i> points in the plane at mutual distance at least one, the diameter of an equilateral <i>n</i>-gon and ...

We present a new general variable neighborhood search approach for the uncapacitated single allocation <i>p</i>-hub median problem in networks. This NP-hard ...

In this paper, we propose a generic model based on linear programming that allows building an optimal production plan for a work shift in an open-pit mine. T...