This paper develops an exact method for the redundancy allocation problem (RAP) for multistate homogeneous series-parallel systems. The problem aims to min...

Dans le cadre de sa réforme du processus d’insolvabilité aux États-Unis, l’American Bankruptcy Institute (ABI) propose l’octroi d’une option de remboursement...

Cet article combine deux méthodes contemporaines majeures de systèmes et de contrôle permettant d'obtenir un équilibre unique de \(\epsilon\)-Nash afin de ...

A mining complex can include multiple mines, stockpiles, waste dumps and processing facilities. Traditional optimization approaches are often based on sequ...

Mining complexes are value chains where extracted material from different mines is transformed into sellable products through a set of processing streams. ...

New digital technologies including the development of advanced sensors and monitoring devices have enabled a mining complex to acquire new information abou...

Facility networks can be disrupted by, for example, power outages, poor weather conditions, or natural disasters, and the probabilities of these events may b...

A hyper-heuristic refers to a search method or a learning mechanism for selecting or generating heuristics to solve computational search problems. Operat...

Une nouvelle approche est développée dans cet article pour résoudre le problème de la planification stratégique de production d'une mine à ciel-ouvert dans...

Given a directed graph \(G=(V,A)\), capacity and cost functions on \(A\), a root \(r\), a subset \(T \subset V\) of terminals, and an integer \(k\)...

This paper addresses combinatorial optimization problems under uncertain and correlated data where the mean-covariance information of the random data is assu...

The Time Window Assignment Vehicle Routing Problem (TWAVRP) is the problem of assigning time windows for delivery before demand volume becomes known. This i...

This paper targets a stochastic energy management problem. We first decouple the stochasticity of the global scenarios to local scenarios. Then, we use spat...

In this paper, we present an online reinforcement learning algorithm, called Renewal Monte Carlo (RMC), for infinite horizon Markov decision processes with ...

Stochastic programming and distributionally robust optimization seek deterministic decisions that optimize a risk measure, possibly in view of the most adv...

Employee scheduling is an important activity in the service industry as it has a significant impact on costs, sales, and profitability. While a large amount ...

Dans le cadre du calcul du risque de contrepartie, le risque de corrélation réfère à une situation où la valeur d'une transaction financière est corrélée av...

À la suite de la crise financière de 2007, la réforme de Bâle III recommande, entre autres, la mise en place de frais de capital couvrant la variabilité de ...

This paper focuses on designing a state estimator for a discrete-time SEIR epidemic model of an influenza-like illness. It is assumed that only sets of adm...