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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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Automatic document summarization aims at creating a shorter version of one or more documents to help users digest large amounts of information more easily by...
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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 ...
BibTeX referencePrice-based strategies for mitigating electric vehicle-induced overloads on distribution systems
This paper first introduces a computationally efficient approach for conducting a time-series impact analysis of electric vehicle (EV) charging on the loadin...
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Station-based Bike-sharing systems have been implemented in multiple major cities, offering a low-cost and environmentally friendly transportation alternativ...
BibTeX referenceRisk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties
This paper addresses risk averse constrained optimization problems where the objective and constraint functions can only be computed by a blackbox subject to...
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We study the integration of multi-period assignment, routing, and scheduling of care workers for home health care services. In such a context, it is importa...
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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Two-stage stochastic programs are a class of stochastic problems where uncertainty is discretized into scenarios, making them amenable to solution approaches...
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We investigate counterparty credit risk and credit valuation adjustments in portfolios including derivatives with early-exercise opportunities, under a net...
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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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