The complex-step derivative approximation is a numerical differentiation technique that can achieve analytical accuracy, to machine precision, with a single ...

In this paper, we solve a rich real-word Multi-Depot Multi-Period Petrol Replenishment Problem with a heuristic based on Branch-and-Price heuristic. The netw...

A highly influential ingredient of many techniques designed to exploit sparsity in numerical optimization is the so-called chordal extension of a graph repre...

Maritime Guinea is subject to the development of numerous mineral ports enabling the benefits of the mining sector to be fully realized. However, in Guinea...

This work proposes strategies to handle three types of constraints in the context of blackbox optimization: binary constraints that simply indicate if they a...

This paper studies the team orienteering problem, where the arrival time and service time affect the collection of profits. Such interactions result in a non...

We propose a generalized decomposition approach for production planning problems with process configuration decisions. These problems appear in contexts wher...

Nanoparticle-mediated drug delivery may be a promising alternative to traditional chemo-therapy of high systemic toxicity. Tumor tissue architecture poses a ...

This work introduces StoMADS, a stochastic variant of the mesh adaptive direct-search (MADS) algorithm originally developed for deterministic blackbox optim...

This article discusses the precedence-constrained class sequencing problem (PCCSP). In scheduling terms, this is a one-machine scheduling problem with preced...

Dealing with demand uncertainty in multi-item lot sizing problems poses huge challenges due to the inherent complexity. The resulting stochastic formulation...

We introduce an iterative method named BiLQ for solving general square linear systems $Ax=b$ based on the Lanczos biorthogonalization process defined by ...

Nous déterminons le prix optimal et la quantité commandée de deux produits substituts offerts dans deux marchés, dont l'un est saisonnier avec un potentiel d...

Cities are facing severe traffic-related problems causing emission thresholds to be exceeded. All around the world, city center access restriction policies a...

In an optimization problem, multiplying an inequality constraint by a positive scalar has no effect on the domain. However, such a transformation might have...

Dans ce papier, nous comparons la méthode BFGS à la méthode du gradient conjugué (CG) pour résoudre un problème d'optimisation sans contrainte avec un algori...

This paper presents a linear mixed-integer formulation to solve the short-term unit commitment problem. It determines the pair of maximum efficiency points o...

In e-commerce warehouses, online retailers increase their efficiency by using a mixed-shelves (or scattered storage) concept, where unit loads are purposeful...

We introduce the conditional $p$-dispersion problem (c-pDP), an incremental variant of the $p$-dispersion problem (pDP). In the c-pDP, one is given a...

Statistical image reconstruction in X-Ray computed tomography yields large-scale regularized linear least-squares problems with nonnegativity bounds, where t...