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

This paper focuses on the traveling salesman problem with time windows (TSPTW) that arises in postal services and parcel deliveries and has features differin...

We consider the maximum \(k\)-cut problem that involves partitioning the vertex set of a graph into \(k\) subsets such that the sum of the weights of the...

In this paper, we establish the maximum number of basic shortest paths in Cartesian product graphs and bounds on the maximum number of the vertex-disjoint sh...

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

Random number generators were invented before there were symbols for writing numbers, and long before mechanical and electronic computers. All major civiliza...

We consider a network whose links have random capacities and in which a certain target amount of flow must be carried from some source nodes to some destina...

Clustering is an automated and powerful technique for data analysis. It aims to divide a given set of data points into clusters which are homogeneous and/o...

We study the behavior of a generalized splitting method for sampling from a given distribution conditional on the occurrence of a rare event. The method retu...

We survey basic ideas and results on randomized quasi-Monte Carlo (RQMC) methods, discuss their practical aspects, and give numerical illustrations. RQM...

This paper introduces two classes of location problems with interconnected facilities. These problems differ from classical location problems in the sense ...

Vehicle scrappage subsidy programs have been widely applied by governments to replace old cars by newer, more fuel-efficient ones. While these programs hav...

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 ...

The purpose of this study is to design incentives for price and advertising coordination in a bilateral monopoly. I prove that a wholesale price reduction ...

The mesh adaptive direct search (MADS) algorithm is designed for blackbox optimization problems for which the functions defining the objective and the constr...

The vertex \(p\)-center problem consists in selecting \(p\) centers among a finite set of candidates and assigning a set of clients to them, with the aim...

Wrong-way risk arises when the value of a financial transaction is adversely correlated with the creditworthiness of the counterparty. This paper investiga...

The third installment of the Basel Accords advocates a capital charge against Credit Valuation Adjustment (CVA) variability. We propose an efficient numeri...

We analyze a transboundary pollution differential game where, in addition to the standard temporal dimension, a spatial dimension is introduced to capture th...

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...