Les problèmes d'optimisation de boîtes noires sont souvent contaminés par du bruit numérique, et les méthodes de recherche directe telles que l'algorithme de...

NLP.py constitue un écosystème de programmation simplifiant le développement d'algorithmes d'optimisation dans un langage de haut-niveau aussi puissant ...

Dans le présent article, nous démontrons des bornes inférieure et supérieure sur chacun des rapports \(GA/\delta\), \(GA/\overline{d}\) et \(\Delta\), ...

This paper presents a numerical investigation of the non-hierarchical formulation of Analytical Target Cascading (ATC) for coordinating distributed multidisc...

Cet article propose une formulation par optimisation bi-niveau pour effectuer la conception d'un micro-réseau alimentant un complexe industriel autonome sur ...

Une collection de systèmes linéaires engendrés au cours des itérations d'une méthode de points intérieurs pour l'optimisation quadratique convexe est...

This work describes the application of a direct search method to the optimization of problems of real industrial interest, namely three new material scien...

This paper considers a family of cutting planes, recently developed for mixed 0-1 polynomial programs and shows that they define facets for the maximum edge-...

Dans cet article, on propose un nouvel algorithme pour trouver le contour optimal des chantiers dans les mines souterraines. Il est basé sur une méthodologie...

Decentralized stochastic control refers to the multi-stage optimization of a dynamical system by multiple controllers that have access to different informati...

In decentralized control systems with linear dynamics, quadratic cost, and Gaussian disturbance (also called decentralized LQG systems) linear control strate...

Various constrained problem formulations for the optimization of an electro-thermal wing anti-icing system in both running-wet and evaporative regimes are pr...

Dans de nombreuses applications réelles d'ingénierie, il est impossible de stocker les Jacobiens ou les Hessiens de manière explicite. L'implémentation de mé...

Aircraft sizing, route network design, demand estimation and allocation of aircraft to routes are different facets of the air transportation optimization pro...

Blackbox optimization deals with situations in which the objective function and constraints are typically computed by launching a time-consuming computer ...

A preconditioned variant of the Golub and Kahan (1965) bidiagonalization process recently proposed by Arioli (2013) and Arioli and Orban (2013) allows us to ...

We propose a generalization of the limited-memory Cholesky factorization of Lin and Moré (1999) to the symmetric indefinite case with special interest in sym...

Symmetric quasi-definite systems may be interpreted as regularized linear least-squares problem in appropriate metrics and arise from applications such as re...

We describe the most recent evolution of our constrained and unconstrained testing environment and its accompanying SIF decoder. Code-named SIFDecode and CU...

Projected Krylov methods are full-space formulations of Krylov methods that take place in a nullspace. Provided projections into the nullspace can be compute...