The present work is in a context of derivative-free optimization involving direct search algorithms guided by surrogate models of the original problem. The...

We consider a personalized employee scheduling problem with characteristics present in retail stores consisting of multiple departments. In the setting under...

The purpose of this guide is to present steps and tools to establish a decision-aid process in an organization linked to public health. This decision-aid p...

Ce guide vise à présenter les différentes étapes et outils de mise en place d'un processus d'aide à la décision, au sein d'une organisation liée à la santé...

In the interest of full disclosure, the reader is advised that I am biased positively towards the book considered here as I have collaborated with its first ...

Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all h...

This is a two-part work. In Part I, low-cost and representative reduced-fidelity models of two versions of the HYDROTEL hydrological model are constructed, u...

Dealing with computationally-intensive calibration processes is still common in distributed hydrological modelling despite the computing power growth. Comput...

Des initiatives mal formulées sur la stratégie de planification des ports fait subir à la zone côtière tropicale des effets néfastes. Pour réduire ces effe...

Operations Research (OR) has a very important role to play in credit scoring for building models that can help the lending organization to make a good decisi...

Le problème de planification de la production des mines à ciel ouvert vise à optimiser la valeur actuelle nette d'un projet minier. Plusieurs méthodes de sol...

Nous proposons un algorithm pour les problèmes d’optimisation non linéaire avec contraintes d’égalité basé sur une fonction de pénalité lisse proposée par ...

Algorithms for finding sparse solutions of underdetermined systems of linear equations have been the subject of intense interest in recent years, sparked b...

Microgrid, a promising component of smart grid, will potentially yield a free electricity market. This paper proposes a novel construction for a community mi...

In this paper, we propose an intuitive way to couple several dynamic time series models even when there are no innovations. This extends previous work for m...

The airline crew scheduling problem involves determining schedules for airline crew members such that all the scheduled flights over a planning horizon (usua...

We consider a class of dynamic collective choice models with social interactions, whereby a large number of non-uniform agents have to individually settle ...

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

The Integral Simplex Using Decomposition (ISUD) algorithm has been developed recently to solve large set partitioning problems (SPPs) in a primal way, i.e.,...

This paper investigates the current patient transportation between services in a large hospital and provides a simulation-optimization solution to reduce com...