Publications

• Article dans une revue

An energy-efficient scheduling and rescheduling method for production and logistics systems

Maroua Nouiri, Abdelghani Bekrar, Damien Trentesaux

Scheduling can be defined as the allocation of available resources over time while optimising a set of criteria like early completion time of task, holding inventory, etc. The complexity of the scheduling problem, already known to be high, increases if dynamic events and disruptions are considered…

International Journal of Production Research, 2020, 58 (11), pp.3263-3283. ⟨10.1080/00207543.2019.1660826⟩. ⟨hal-03423955⟩

• Communication dans un congrès

Practices to Define Software Measurements.

Káthia Marçal de Oliveira

Actes du XXXVIIIème Congrès INFORSID, Jun 2020, Dijon, France. pp.77-92. ⟨hal-03388080⟩

• Article dans une revue

Comparison of three multiscale methods for topographic analyses

Robin Guibert, Said Hanafi, Raphaël Deltombe, Maxence Bigerelle, Christopher Brown

There is a growing demand for high level surface characterization. The functionality of machine parts, such as tribological behavior, depends on the texture of contacting surfaces. The relation between texture parameters depending on the scaling of texture features, finishing process parameters,…

Surface Topography: Metrology and Properties, 2020, 8 (2), pp.024002. ⟨10.1088/2051-672X/ab8348⟩. ⟨hal-03442257⟩

• Communication dans un congrès

The parking allocation problem for connected vehicles.

Marko Mladenovic, Said Hanafi, Thierry Delot, Gilbert Laporte, Christophe Wilbaut

In this paper, we propose a parking allocation model that takes into account the basic constraints and objectives of a problem where parking lots are assigned to vehicles. We assume vehicles are connected and can exchange information with a central intelligence. Vehicle arrival times can be…

BALCOR 2018 – XIII Balkan Conference on Operational Research, May 2018, Belgrade, Serbia. pp.377-399, ⟨10.1007/s10732-017-9364-7⟩. ⟨hal-03383437⟩

• Article dans une revue

The parking allocation problem for connected vehicles.

Marko Mladenovic, Thierry Delot, Gilbert Laporte, Christophe Wilbaut

In this paper, we propose a parking allocation model that takes into account the basic constraints and objectives of a problem where parking lots are assigned to vehicles. We assume vehicles are connected and can exchange information with a central intelligence. Vehicle arrival times can be…

Journal of Heuristics, 2020, 26 (3), pp.377-399. ⟨10.1007/s10732-017-9364-7⟩. ⟨hal-03396832⟩

• Article dans une revue

Purchase intention-based agent for customer behaviours

Arnaud Doniec, Stéphane Lecoeuche, René Mandiau, Antoine Sylvain

Simulating human activities remains a challenging problem because the decision-making mechanisms underlying these activities are difficult to reproduce and mimic. In this article, we are interested in the simulation of in-store shoppers whose activities are generally divided into two parts: a…

Information Sciences, 2020, 521, pp.380-397. ⟨10.1016/j.ins.2020.02.054⟩. ⟨hal-02496810⟩

• Article dans une revue

Modeling of carbon monoxide two-photon LIF spectra at high temperature and pressure

Olivier Carrivain, Mikael Orain, Nelly Dorval, Céline Morin, G. Legros

In this study, we have developed a quantitative model of two-photon excitation and fluorescence spectra of carbon monoxide based on up-to-date spectroscopic constants collected during an extensive literature survey. This semi-classical model takes into account Hönl-London factors, quenching effects…, Dans cette étude, un modèle quantitatif de spectres d'excitation à deux photons et de fluorescence du monoxyde de carbone considérant les constantes spectroscopiques les plus récentes disponibles dans la littérature a été développé. Ce modèle semi-classique considère les facteurs de Hönl-…

Applied Spectroscopy, 2020, pp.629-644. ⟨10.1177/0003702819881215⟩. ⟨hal-02292841⟩

• Article dans une revue

A snapshot of the Covid-19 pandemic among pregnant women in France

Gilles Kayem, Florence Bretelle, Thomas Schmitz, Vivien Alessandrini, Elie Azria, Julie Blanc, Caroline Bohec, Marie Bornes, Pierre-François Ceccaldi, Yasmine Chalet, Céline Chauleur, Anne-Gael Cordier, Philippe Deruelle, Raoul Desbriere, Muriel Doret, Michel Dreyfus, Marine Driessen, Marion Fermaut, Denis Gallot, Charles Garabedian, Cyril Huissoud, Edouard E. Lecarpentier, Dominique Luton, Olivier Morel, Franck Perrotin, Olivier Picone, Patrick Rozenberg, Loïc Sentilhes, Jeremy Sroussi, Christophe Vayssiere, Eric Verspyck, Alexandre Vivanti, Norbert Winer

Objective To describe the course over time of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in French women from the beginning of the pandemic until mid-April, the risk profile of women with respiratory complications, and short-term pregnancy outcomes. Methods We collected…

Journal of Gynecology Obstetrics and Human Reproduction, 2020, 49 (7), pp.101826. ⟨10.1016/j.jogoh.2020.101826⟩. ⟨hal-02869022⟩

• Article dans une revue

The selective traveling salesman problem with draft limits

Shahin Gelareh, Bernard Gendron, Said Hanafi, Rahimeh Neamatian Monemi, Raca Todosijević

This paper introduces the selective traveling salesman problem with draft limits, an extension of the traveling salesman problem with draft limits, wherein the goal is to design a maximum profit tour respecting draft limit constraints at the visited nodes. We propose a mixed integer linear…

Journal of Heuristics, 2020, 26 (3), pp.339-352. ⟨10.1007/s10732-019-09406-z⟩. ⟨hal-03472173⟩

• Thèse

Hardware Accelerators for Machine Learning Applications. Case Study : Autonomous Vehicles, Accélérateurs Matériels pour l'Intelligence Artificielle. Etude de Cas : Voitures Autonomes

Mohamed Ayoub Neggaz

Since the early days of the DARPA challenge, the design of self-driving cars is catching increasing interest. This interest is growing even more with the recent successes of Machine Learning algorithms in perception tasks. While the accuracy of thesealgorithms is irreplaceable, it is very…, Depuis les débbuts du défi DARPA, la conception de voitures autonomes suscite unintérêt croissant. Cet intéreêt grandit encore plus avec les récents succès des algorithmesd'apprentissage automatique dans les tâches de perception. Bien que laprécision de ces algorithmes soit irremplaçable, il…

Artificial Intelligence [cs.AI]. Université Polytechnique Hauts-de-France, 2020. English. ⟨NNT : 2020UPHF0017⟩. ⟨tel-03177513⟩