We characterize cooperative and non-cooperative solutions of a dynamic game played over event tree when the transition probability are not given. We assume...

Operating mining complexes constantly collect data from a wide variety of sources that directly or indirectly measure pertinent geological and geometallurg...

We develop a maximum-likelihood (ML) approach based on option markets for estimating structural models. We use dynamic programming and finite elements, der...

As the need for interpretable machine learning continues to grow, we propose a novel post-clustering method to generate counterfactual explanations for clust...

Training language models (LMs) under tight GPU memory budgets rules out standard back-propagation and motivates zeroth-order (ZO) optimization. While ZO m...

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...

Many combinatorial optimization problems, such as vehicle and crew scheduling, can be modeled using path-flow formulations, where each variable represents a ...

One-dimensional models can enable the assessment of the dynamic behavior of hydropower units during transient operation with minimal computational resources....

This paper investigates a class of linear-quadratic-Gaussian risk-sensitive graphon mean-field games, involving an asymptotically infinite population of hete...

Deux familles de méthodes de recherche directe directionnelle se sont imposées en optimisation sans dérivées et optimisation "boîte noire" (DFO et BBO), chac...

The present work studies the problem of sorting using comparisons involving three elements at a time. Each comparison only identifies the smallest, middle, ...

Dans ce travail, nous proposons des stratégies améliorées de mappage de tâches pour les simulations de systèmes électriques en temps réel sur des grappes de ...

Dans le cadre de la lutte contre le changement climatique, deux stratégies principales sont disponibles : l'atténuation, qui vise à réduire les émissions de ...

Les réseaux de distribution électrique modernes (RDE) intègrent un nombre croissant de technologies associées aux réseaux de distribution actifs, telles que ...

Surrogate modeling with insufficient data can lead to high prediction uncertainty and errors. A promising remedy to address this issue is the use of transfer...

Cet article présente une nouvelle variante du problème de production et de distribution intégré dans une chaîne d'approvisionnement à deux niveaux impliquant...

We introduce Spatial Pattern Regression (SPR), a method to generate gridded historical meteorological data for climate adaptation. SPR operates in two steps:...

Large-scale distributed wireless networks provide infrastructure-free and cost-effective connectivity, supporting applications from disaster recovery to glob...

Rolling stock scheduling and crew scheduling are two fundamental problems that arise in the planning of urban rail operations and that are especially importa...

A shift toward shopping at (autonomous) wheeled vending stores is redefining urban retail. Compared with traditional brick-and-mortar stores, such mobile sto...