Axe 2 : Aide à la décision prise dans les systèmes complexes
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Historically, the training of deep artificial neural networks has relied on parallel computing to achieve practical effectiveness. However, with the increas...
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We introduce an iterative solver named MINARES for symmetric linear systems Ax≈b
, where A
is possibly singular.
MINARES is based on t...
Operations research specialists at the OCP Group, the Mohammed VI Polytechnic University, and the Polytechnique Montreal operationalized a system optimizing ...
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Decision trees are highly interpretable models for solving classification problems in machine learning (ML). The standard ML algorithms for training decision...
référence BibTeXThe indefinite proximal gradient method
We introduce a variant of the proximal gradient method in which the quadratic term is diagonal but may be indefinite, and is safeguarded by a trust region. ...
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Tactical wireless networks are used in cases where standard telecommunication networks are unavailable or unusable, e.g. disaster relief operations. We fully...
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Recommender systems provide personalized recommendations to their users for items and services. They do that using a model that is tailored to each user to i...
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Perturbations are universal in supply chains, and their appearance is getting more frequent in the past few years. These perturbations affect industries and ...
référence BibTeXA unified branch-price-and-cut algorithm for multi-compartment pickup and delivery problems
In this paper, we study the pickup and delivery problem with time windows and multiple compartments (PDPTWMC). The PDPTWMC generalizes the pickup and delive...
référence BibTeXPricing and unauthorized channel strategies for a global manufacturer considering import taxes
Pour couvrir les taxes à l'importation, un fabricant facture généralement un prix plus élevé sur un marché étranger que sur son marché domestique. La différe...
référence BibTeXFluxNLPModels.jl and KnetNLPModels.jl: Connecting deep learning models with optimization solvers
Cet article présente <code>FluxNLPModels.jl</code> et <code>KnetNLPModels.jl</code>, des nouveaux modules Julia permettant à des réseaux de neurones, définis...
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The Quadratic Knapsack Problem (QKP) is a combinatorial optimization problem that has attracted much attention over the past four decades. In this problem, o...
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Nous considérons une entreprise offrant un produit opaque, c'est-à-dire un produit dont les caractéristiques complètes ne sont révélées au consommateur qu'a...
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We present a Julia framework dedicated to partially-separable problems whose element function are detected automatically. This framework takes advantage of ...
référence BibTeXRobotic Process Automation (RPA) using a heuristic method and the effective resistance of a graph
Robotic Process Automation has emerged in recent years as an important field by allowing faster and more secure processes through a reduction in the risks or...
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Given a ground-set of elements and a family of subsets, the set covering problem consists in choosing a minimum number of elements such that each subset cont...
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In this paper, a new model is proposed for the real-time diesel genset optimal dispatch and unit commitment in remote microgrids. The objective is to reduce ...
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Given a set N
of size n
, a non-negative, integer-valued distance matrix D
of dimensions n×n
, an integer `(p\in\mathb...
Assessing electric mobility and renewable energy synergy in a small New Caledonia island community
In this paper, we evaluate the synergy between variable renewable energy (VRE), electric mobility, and Vehicle to Grid (V2G) deployment for a small community...
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Cet article présente Krylov.jl
, un module Julia qui contient une collection de processus et méthodes de Krylov pour résoudre une variété de pr...