Operational problems arising in the planning of integrated supply chains have been increasingly studied in the past decade. Among these, the production rout...

We consider a class of infeasible, path-following methods for convex quadratric programming. Our methods are designed to be effective for solving both nonde...

In this article we address the model order reduction problem for resistor networks by using methods from graph theory. We formulate this problem through gr...

Let \(G\) be a connected graph, \(n\) the order of \(G\), and \(f\) (resp. \(t\)) the maximum order of an induced forest (resp. tree) in \(G\). ...

We propose an interior-point algorithm based on an elastic formulation of the \(\ell_1\)-penalty merit function for mathematical programs with complementar...

Carbon leakage and competitiveness concerns are some of the main reasons why an international environmental agreement is lacking to fight climate change. M...

It is well known that some local search algorithms for <i>K</i>-clustering problems could stop at a solution with fewer clusters than the desired <i>K</i>....

Interior-point methods in augmented form for linear and convex quadratic programming require the solution of a sequence of symmetric indefinite linear ...

Given a graph <i>G</i> and a bipartition of its vertices, the edge-ratio is the minimum for both classes so defined of their number of internal edges divid...

Parameterizing source code for architecture-bound optimization is a common approach to high-performance programming but one that makes the programmer's task ...

In the service industry, the employees perform work shifts and are assigned to interruptible activities and uninterruptible tasks during their shifts. The ...

The objective in the continuous facility location problem with limited distances is to minimize the sum of distance functions from the facility to the cust...

The GRIEG model is a hybrid model of demo-economic projections that combines two approaches: the econometric approach - based on the micro-economy - of the N...

Community detection in networks based on modularity maximization is currently done with hierarchical divisive or agglomerative as well as with partitioning h...

Heuristics are widely applied to modularity maximization models for the identification of communities in complex networks. We present an approach to be appli...

We consider derivative-free optimization, and in particular black box optimization, where the functions to minimize and the functions representing the con...

Umbrella branding is a strategy that consists in using the same name to market different products which may, or may not, be related. The purpose of this pape...

Accurate measurements of snow water equivalent (SWE) is an important factor in managing water resources for hydroelectric power generation. SWE over a catchm...

Le but de cet article est de décrire et de résoudre un nouveau et important problème auquel font face les compagnies maritimes spécialisées dans le transport...

We propose a modified primal-dual interior-point method for nonlinear programming that relaxes the requirement of closely following the central path and lend...