Follow
Rémy Chevrier
Title
Cited by
Cited by
Year
Energy saving in railway timetabling: A bi-objective evolutionary approach for computing alternative running times
R Chevrier, P Pellegrini, J Rodriguez
Transportation Research Part C: Emerging Technologies 37, 20-41, 2013
1102013
Solving a dial-a-ride problem with a hybrid evolutionary multi-objective approach: Application to demand responsive transport
R Chevrier, A Liefooghe, L Jourdan, C Dhaenens
Applied Soft Computing 12 (4), 1247-1258, 2012
882012
An evolutionary multi-objective approach for speed tuning optimization with energy saving in railway management
R Chevrier
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
372010
Solving the Train Timetabling Problem, a mathematical model and a genetic algorithm solution approach
LDA Pimentel, R Chevrier, S Hanafi, J Rodriguez
6th international conference on railway operations modelling and analysis …, 2015
322015
Comparison of three algorithms for solving the convergent demand responsive transportation problem
R Chevrier, P Canalda, P Chatonnay, D Josselin
2006 IEEE Intelligent Transportation Systems Conference, 1096-1101, 2006
242006
Multi-objective evolutionary algorithm for speed tuning optimization with energy saving in railway: Application and case study
R Chevrier, G Marlière, B Vulturescu, J Rodriguez
RailRome 2011, 2011
192011
On optimizing a demand responsive transport with an evolutionary multi-objective approach
R Chevrier, A Liefooghe, L Jourdan, C Dhaenens
13th International IEEE Conference on Intelligent Transportation Systems …, 2010
172010
Optimization of demand responsive transport in polarized territories
R Chevrier
Université d'Avignon, 2008
15*2008
Improving an evolutionary multi-objective approach for optimizing railway energy consumption
A Lejeune, R Chevrier, J Rodriguez
Procedia-Social and Behavioral Sciences 48, 3124-3133, 2012
132012
Towards eco‐aware timetabling: evolutionary approach and cascading initialisation strategy for the bi‐objective optimisation of train running times
A Lejeune, R Chevrier, PO Vandanjon, J Rodriguez
IET Intelligent Transport Systems 10 (7), 483-494, 2016
102016
Fluidification du trafic Transilien: approche prédictive et optimisation quadratique
F Schanzenbacher, R Chevrier, N Farhi
ROADEF 2016-17ème Conférence ROADEF (Société Française de Recherche …, 2016
82016
An oriented convergent mutation operator for solving a scalable convergent demand responsive transport problem
R Chevrier, P Canalda, P Chatonnay, D Josselin
2006 International Conference on Service Systems and Service Management 2 …, 2006
72006
Application of a co-evolutionary genetic algorithm to solve the periodic railway timetabling problem
D Arenas, R Chevrier, J Rodriguez, C Dhaenens, S Hanafi
Proceedings of 2013 International Conference on Industrial Engineering and …, 2013
62013
Saving energy in railway management with an evolutionary multiobjective algorithm: application and case study
R Chevrier, G Marlière, J Rodriguez
Proceedings of the 9th World Congress on Railway Research, 2011
62011
Un algorithme génétique pour le transport à la demande en convergence
R Chevrier, É Castex, D Josselin, P Canalda, P Chatonnay
Revue Internationale de Géomatique 18 (2), 239-265, 2008
62008
Experimental study on the viability of decentralized railway traffic management
Q Perrachon, R Chevrier, P Pellegrini
WIT Transactions on The Built Environment 199, 337-344, 2020
52020
Train flow optimization: A model predictive and quadratic programming approach (Fluidification du trafic Transilien: Approche prédictive et optimisation quadratique)
F Schanzenbächer, R Chevrier, N Farhi
Proc. Conf. ROADEF, 2016
52016
Optimization of a passenger railway transportation plan considering mobility flows and service quality
L Brethomé, C Bouvet-Agnelli, R Chevrier, N van Oort, J Rodriguez
7th International Seminar on Railway Operations Modelling and Analysis, 2017
32017
Computing multiple running times for railway timetabling: a speed-level based model for constructing alternative speed profiles
R Chevrier, P Pellegrini, J Rodriguez
RailCopenhagen 2013, 5th International Conference in Railway Operations …, 2013
32013
A deep learning Attention model to solve the Vehicle Routing Problem and the Pick-up and Delivery Problem with Time Windows
B Rabecq, R Chevrier
arXiv preprint arXiv:2212.10399, 2022
22022
The system can't perform the operation now. Try again later.
Articles 1–20