In this paper, we focus on the problem that has been described in the second international nurse rostering competition: a personalized nurse scheduling prob...

This study presents a production scheduling optimization method for a mining complex, which provides a flexible long-term plan for future investments and ope...

Partially observed major minor LQG mean field game theory is applied to an optimal execution problem in finance; following standard financial models, control...

La Programmation Dynamique Stochastique (PDS) est une puissante méthode applicable aux problèmes mutli-étapes non-convexes et stochastiques. Nous étudions ...

Nous proposons une formule analytique pour l'évaluation d'options composes lorsque la dynamique de l'actif sous-jacent est décrite par un modèle lognormal av...

An exchangeable bond is a debt that is convertible into shares of a firm's equity other than the bond's issuer. We evaluate an exchangeable bond within a two...

À la différence des méthodes de couverture de type delta-neutre, la couverture globale vise à optimiser un critère terminal relié à la différence entre la va...

Most structural models for valuing corporate securities assume a geometric-Brownian motion to describe the firm's assets value. However, this does not reflec...

The problem of output stabilization is studied for a class of linear hybrid systems subject to signal uncertainties: linear impulsive systems under dwell-t...

In this article, we discuss an alternative method for deriving conservative approximation models for two-stage robust optimization problems. The method main...

In this study, the problem environment consists of two fast fashion retailing firms where one can obtain the other's selling data from an outside agent. The ...

This paper proposes a multi-stage stochastic programming formulation based on affine decision rules for the reservoir management problem. Our approach seeks ...

Partially observed Mean Field Game (PO MFG) theory was introduced and developed in (Caines and Kizilkale, 2013, 2014, Şen and Caines 2014, 2015), where it i...

The object of study in the recent theory of Mean Field Games has been primarily large populations of agents interacting through a population dependent coupli...

This paper proposes a multi-stage stochastic programming formulation for the reservoir management problem. Our problem specifically consists in minimizing th...

Nous développons un modèle structurel élargi pour évaluer les dettes corporatives risquées qui prend en compte le risque de défaut et le risque du taux d'int...

The traditional mine planning framework employs a flawed approach in the design of ultimate pit limits and phases. Conventional methods arbitrarily confine ...

This paper presents three hyper-heuristic approaches for the stochastic open-pit mine production scheduling problem with one processing stream (SMPS) and one...

Locally weighted regression combines the advantages of polynomial regression and kernel smoothing. We present three ideas for appropriate and effective use...

In this paper, we study how uncertainties weighing on the climate system impact the optimal technological pathways the world energy system should take to com...