Axis 2: Decision support made in complex systems
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1366 results — page 2 of 69
This paper introduces a new step to the Direct Search Method (DSM) to strengthen its convergence analysis. By design, this so-called covering step may e...
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The Harwell Subroutine Library (HSL) is a renowned suite of efficient and robust numerical algorithms designed to tackle complex mathematical problems such a...
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This work introduces a novel multi-fidelity blackbox optimization algorithm designed to alleviate the resource-intensive task of evaluating infeasible points...
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This study addresses large-scale personnel scheduling problems in the service industry by combining mathematical programming with data mining techniques to...
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We consider the set of graphs that can be constructed from a one-vertex graph by repeatedly adding a clique or a stable set linked to all or none of the vert...
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The Network Design Problem with Vulnerability Constraints and Probabilistic Edge Reliability (NDPVC-PER) is an extension of the NDPVC obtained by additionall...
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How can retailers incentivize customers to make healthier food choices? Price, convenience, and taste are known to be among the main drivers behind such choi...
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"L'eau c'est la vie" is a well known french expression for "Water is life", which reflects the fact that water is undoubtedly the most vital resource in the ...
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In this paper, we describe a branch-and-price algorithm for the personalized nurse scheduling problem. The variants that appear in the literature involve a ...
BibTeX referenceEvolution of high throughput satellite systems: Vision, requirements, and key technologies
High throughput satellites (HTS), with their digital payload technology, are expected to play a key role as enablers of the upcoming 6G networks. HTS are mai...
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This paper investigates a variant of the traveling salesman problem (TSP) with speed optimization for a plug-in hybrid electric vehicle (PHEV), simultaneousl...
BibTeX referencePLSR1: A limited-memory partitioned quasi-Newton optimizer for partially-separable loss functions
Improving neural network optimizer convergence speed is a long-standing priority. Recently, there has been a focus on quasi-Newton optimization methods, whi...
BibTeX referenceThe primal Benders decomposition
Benders decomposition has been applied significantly to tackle large-scale optimization problems with complicating variables, which, when temporarily fixed, ...
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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 \(Ax \approx b\)
, 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...
BibTeX referenceThe 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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