Optimisation combinatoire

Les travaux de l’équipe « Optimisation Combinatoire » (OC) s’inscrivent dans le domaine de l’optimisation combinatoire, à la frontière de l’informatique et des mathématiques. Ils se déclinent en résultats portant sur des avancées théoriques et méthodologiques en optimisation d’une part, et d’autre part pour la résolution efficace de problèmes relevant de grands domaines d’application de la Recherche Opérationnelle (RO).

Les travaux de l’équipe OC relèvent de divers domaines d’application de la RO notamment la conception de réseaux, le développement durable et la biodiversité, l’ordonnancement et la planification ainsi que les problèmes génériques de graphes.

Pour les aspects théoriques et méthodologiques, les recherches de l’équipe portent principalement sur les 4 thèmes détaillés ci-dessous.

Conception de méthodes pour l’optimisation mathématique

Cette thématique couvre les travaux relevant de l’optimisation linéaire et non-linéaire en variables entières et continues. Nos travaux de recherche dans ce thème visent à proposer des méthodes efficaces de résolution exacte de problèmes en général difficiles. Pour ce faire, nous proposons des méthodes mathématiques de reformulation en des problèmes plus simples, de décomposition en plus petits problèmes, de projections et des approximations par des relaxations. Ces méthodes nous permettent de réduire le temps de calcul des algorithmes de résolution que nous mettons en œuvre tout en calculant des solutions optimales ou garanties proches d’une solution optimale. Ce type de résultats de recherche doit être validé par des expérimentations sur des jeux de données de benchmark développés par notre communauté scientifique.

Graphes et optimisation

Les graphes constituent un objet mathématique fondamental de la RO et l’équipe s’intéresse à des problèmes suffisamment généraux pour modéliser de nombreuses situations concrètes. Parmi ces problèmes, les « d−bloqueurs » consistent à déterminer le nombre minimal d’éléments à modifier (suppression, ajout, contraction) de sorte à dégrader (diminuer ou augmenter) la valeur du paramètre de d unités. Différents paramètres ont été étudiés : le couplage maximum, l’ensemble stable maximum et la couverture minimum, le nombre chromatique, le diamètre et le dominant minimum. D’autres travaux ont porté sur l’analyse structurelle et algorithmique du dominant de cardinalité minimum ainsi que sur la robustesse des graphes vis à vis de leur structure, notamment les couplages parfaits, les multicoupes (partielles ou non), la couverture par cycle et l’hamiltonicité. Dans tous les travaux liés à cette thématique, les recherches de l’équipe portent sur la conception d’algorithmes polynomiaux, exacts ou approchés, ou bien d’algorithmes FPT.

Robustesse et optimisation dans l’incertain

Une partie des activités de l’équipe porte sur la prise en compte d’incertitudes pour la résolution de problèmes d’optimisation sous l’angle de l’optimisation robuste qui consiste à déterminer des solutions « satisfaisantes » lorsque les paramètres incertains prennent les valeurs les plus défavorables ou encore sous l’angle de la programmation stochastique multi-étapes lorsque les lois de distribution des paramètres incertains sont connues.

Recherche opérationnelle et intelligence artificielle

Nous nous intéressons dans le cadre de différents travaux, à l’utilisation de techniques d’intelligence artificielle pour renforcer la résolution de problèmes d’optimisation discrète mais également à l’apport des techniques d’optimisation mathématique pour améliorer la qualité de prédiction et d’interprétabilité des arbres de classification.

Conférences et revues avec comité de lecture

2023

Articles de revue

  1. Bentz, C.; Costa, M-C.; Poirion, P-l. and Ridremont, T. Robust capacitated Steiner trees and networks with~uniform demands. In Networks, 82 (1): 3-31, 2023. doi  www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A stochastic dual dynamic integer programming based approach for remanufacturing planning under uncertainty. In International Journal of Production Research, 61 (17): 5992-6012, 2023. doi  www 
  1. Lambert, A. Using general triangle inequalities within Quadratic Convex Reformulation method. In Optimization Methods and Software, 38 (3): 626-653, 2023. doi  www 
  1. Elloumi, S. and Verchère, Z. Efficient linear reformulations for binary polynomial optimization problems. In Computers and Operations Research, 155: 106240, 2023. doi  www 

2022

Articles de revue

  1. Dur'an Mateluna, C.; Alès, Z. and Elloumi, S. An efficient Benders decomposition for the p-median problem. In European Journal of Operational Research, 2022. doi  www 
  1. Ngueveu, S. U.; Artigues, C.; Absi, N. and Kedad-Sidhoum, S. Lower and upper bounds for scheduling energy-consuming tasks with storage resources and piecewise linear costs. In Journal of Heuristics, 28 (1): 93-120, 2022. doi  www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. Combining polyhedral approaches and stochastic dual dynamic integer programming for solving the uncapacitated lot-sizing problem under uncertainty. In INFORMS Journal on Computing, 34 (2): 1024-1041, 2022. doi  www 
  1. Silva, I. F.; Bentz, C.; Bouhtou, M.; Chardy, M. and Kedad-Sidhoum, S. Managing a multi battery energy storage system of a telecommunications company in order to reduce the total energy cost. In International Journal of Smart Grid and Clean Energy, 2022. doi  www 
  1. Porumbel, D. Projective Cutting-Planes for Robust Linear Programming and Cutting Stock Problems. In INFORMS Journal on Computing, 2022. doi  www 
  1. Charles, M.; Dauzère-Pérès, S.; Kedad-Sidhoum, S. and Mazhoud, I. Motivations and analysis of the capacitated lot-sizing problem with setup times and minimum and maximum ending inventories. In European Journal of Operational Research, 302 (1): 203-220, 2022. doi  www 
  1. Alès, Z. and Elloumi, S. Minimizing recovery cost of network optimization problems. In Networks, 2022. doi  www 
  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. Dominance inequalities for scheduling around an unrestrictive common due date. In European Journal of Operational Research, 296 (2): 453-464, 2022. doi  www 
  1. Mencarelli, L.; Floquet, J.; Georges, F. and Grenier, D. Mixed integer (non)linear approaches for the satellite constellation design problem. In Optimization and Engineering, 2022. doi  www 
  1. Kim, E. J.; Milanic, M.; Monnot, J. and Picouleau, C. Complexity and algorithms for constant diameter augmentation problems. In Theoretical Computer Science, 904: 15-26, 2022. doi  www 

2021

Articles de revue

  1. Elloumi, S.; Hudry, O.; Marie, E.; Martin, A.; Plateau, A. and Rovedakis, S. Optimization of wireless sensor networks deployment with coverage and connectivity constraints. In Annals of Operations Research, 298 (1-2): 183-206, 2021. doi  www 
  1. Regaieg, R.; Koub`aa, M.; Alès, Z. and Aguili, T. Multi-objective optimization for VM placement in homogeneous and heterogeneous cloud service provider data centers. In Computing, 103 (6): 1255-1279, 2021. doi  www 
  1. Chen, Z.; Fampa, M.; Lambert, A. and Lee, J. Mixing convex-optimization bounds for maximum-entropy sampling. In Mathematical Programming, 188: 539-568, 2021. doi  www 
  1. Bouquet, V.; Delbot, F. c. and Picouleau, C. On the vertices belonging to all, some, none minimum dominating set. In Discrete Applied Mathematics, 288: 9-19, 2021. doi  www 
  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. Mixed integer formulations using natural variables for single machine scheduling around a common due date. In Discrete Applied Mathematics, 290: 36-59, 2021. doi  www 
  1. Elloumi, S.; Lambert, A. and Lazare, A. Solving unconstrained 0-1 polynomial programs through quadratic convex reformulation. In Journal of Global Optimization, 80 (2): 231-248, 2021. doi  www 
  1. Furini, F.; Lambert, A.; Létocart, L.; Liberti, L. and Traversi, E. Preface: CTW 2018. In Discrete Applied Mathematics, 296: 1, 2021. doi  www 
  1. Frosini, A.; Picouleau, C. and Rinaldi, S. Characterization of the degree sequences of (quasi) regular uniform hypergraphs. In Theoretical Computer Science, 868: 97-111, 2021. doi  www 

2020

Articles de revue

  1. Alès, Z. and Knippel, A. The K-partitioning problem: Formulations and branch-and-cut. In Networks, 76 (3): 323-349, 2020. doi  www 
  1. Quezada, F.; Gicquel, C.; Kedad-Sidhoum, S. and Vu, D. Q. A multi-stage stochastic integer programming approach for a multi-echelon lot-sizing problem with returns and lost sales. In Computers and Operations Research, 116: 104865, 2020. doi  www 
  1. Bentz, C. and Le Bodic, P. Complexity of the multicut problem, in its vanilla, partial and generalized versions, in graphs of bounded treewidth. In Theoretical Computer Science, 809: 239-249, 2020. doi  www 
  1. Porumbel, D. C. Projective Cutting-Planes. In SIAM Journal on Optimization, 30 (1): 1007-1032, 2020. doi  www 
  1. Bucarey, V.; Elloumi, S.; Labbé, M. and Plein, F. Models and Algorithms for the Product Pricing with Single-Minded Customers Requesting Bundles. In Computers and Operations Research, 2020. doi  www 
  1. Costa, M.-C.; de Werra, D. and Picouleau, C. Minimal graphs for 2-factor extension. In Discrete Applied Mathematics, 2020. doi  www 
  1. Bentz, C.; Costa, M-C. and Hertz, A. On the edge capacitated Steiner tree problem. In Discrete Optimization, 38: 100607, 2020. doi  www 
  1. Porumbel, D. C. and Hao, J-K. Distance-guided local search. In Journal of Heuristics, 26 (5): 711-741, 2020. doi  www 

2019

Articles de revue

  1. Paulusma, D.; Picouleau, C. and Ries, B. Critical vertices and edges in H-free graphs. In Discrete Applied Mathematics, 257: 361-367, 2019. doi  www 
  1. B"ulb"ul, K.; Kedad-Sidhoum, S. and c Sen, H. Single-machine common due date total earliness/tardiness scheduling with machine unavailability. In Journal of Scheduling, 22 (5): 543-565, 2019. doi  www 
  1. Elloumi, S. and Lambert, A. Global solution of non-convex quadratically constrained quadratic programs. In Optimization Methods and Software, 34 (1): 98-114, 2019. doi  www 
  1. Bentz, C. An FPT Algorithm for Planar Multicuts with Sources and Sinks on the Outer Face. In Algorithmica, 81 (1): 224-237, 2019. doi  www 
  1. Bentz, C. Weighted and locally bounded list-colorings in split graphs, cographs, and partial k-trees. In Theoretical Computer Science, 782: 11-29, 2019. doi  www 

Articles de conférence

  1. Godard, H.; Elloumi, S.; Lambert, A.; Maeght, J. and Ruiz, M. Novel Approach Towards Global Optimality of Optimal Power Flow Using Quadratic Convex Optimization. In 6th International Conference on Control, Decision and Information Technologies (CoDIT), Paris, France, 2019. doi  www 
  1. Elloumi, S.; Lambert, A. and Lazare, A. Semidefinite programming relaxations through quadratic reformulation for box-constrained polynomial optimization problems. In 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), pages 1498-1503, IEEE, Paris, France, 2019. doi  www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. Stochastic dual dynamic integer programming for a multi-echelon lot-sizing problem with remanufacturing and lost sales. In CODIT 2019- 6th IEEE International Conference on Control, Decision and Information Technologies, pages 1254-1259, IEEE, Paris, France, 2019. doi  www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A Stochastic Dual Dynamic Integer Programming for the Uncapacitated Lot-Sizing Problem with Uncertain Demand and Costs. In ICAPS2019 - 29th International Conference on Automated Planning and Scheduling, pages 353-361, AAAI Press, Berkeley, United States, 2019. doi  www 

2018

Articles de revue

  1. Billionnet, A. Phylogenetic conservation prioritization with uncertainty. In Biodiversity and Conservation, 27 (12): 3137-3153, 2018. doi  www 
  1. Diner, ". Y. s.; Paulusma, D.; Picouleau, C. and Ries, B. Contraction and deletion blockers for perfect graphs and H-free graphs. In Theoretical Computer Science, 746: 49-72, 2018. doi  www 
  1. Helal, N.; Pichon, F.; Porumbel, D. C.; Mercier, D. and Lefevre, E. The capacitated vehicle routing problem with evidential demands. In International Journal of Approximate Reasoning, 95: 124-151, 2018. doi  www 
  1. Alès, Z.; Pauchet, A. and Knippel, A. Extraction and Clustering of Two-Dimensional Dialogue Patterns. In International Journal on Artificial Intelligence Tools, 27 (02): 1850001, 2018. doi  www 
  1. Billionnet, A. Quantifying extinction probabilities of endangered species for phylogenetic conservation prioritization may not be as sensitive as might be feared. In Biodiversity and Conservation, 27 (5): 1189-1200, 2018. doi  www 
  1. Artigues, C.; Bourreau, E.; Jost, V.; Kedad-Sidhoum, S. and Ramond, F. c. Trains do not vanish: the ROADEF/EURO challenge 2014. In Annals of Operations Research, 271 (2): 1091-1105, 2018. doi  www 
  1. Bentz, C.; Costa, M-C.; Poirion, P-L. and Ridremont, T. Formulations for designing robust networks. An application to wind power collection. In Electronic Notes in Discrete Mathematics, 64: 365-374, 2018. doi  www 
  1. Porumbel, D. C. Prize-collecting set multicovering with submodular pricing. In International Transactions in Operational Research, 25 (4): 1221-1239, 2018. doi  www 
  1. Phouratsamay, S-L.; Kedad-Sidhoum, S. and Pascual, F. Two-level lot-sizing with inventory bounds. In Discrete Optimization, 30: 1-19, 2018. doi  www 
  1. Kedad-Sidhoum, S.; Monna, F.; Mounié, G. and Trystram, D. A Family of Scheduling Algorithms for Hybrid Parallel Platforms. In International Journal of Foundations of Computer Science, 29 (1): 63-90, 2018. doi  www 
  1. Bendotti, P.; Fouilhoux, P. and Kedad-Sidhoum, S. The Unit-capacity Constrained Permutation Problem. In European Journal of Operational Research, 268 (2): 463-472, 2018. doi  www 
  1. Alès, Z.; Nguyen, T. S. and Poss, M. Minimizing the weighted sum of completion times under processing time uncertainty. In Electronic Notes in Discrete Mathematics, 64: 15-24, 2018. doi  www 
  1. Bou-Fakhreddine, B.; Abou Chakra, S.; Mougharbel, I.; Faye, A. and Pollet, Y. Daily river flow prediction based on Two-Phase Constructive Fuzzy Systems Modeling: A case of hydrological -- meteorological measurements asymmetry. In Journal of Hydrology, 558: 255-265, 2018. doi  www 
  1. Costa, M-C.; de Werra, D. and Picouleau, C. Minimal graphs for matching extension. In Discrete Applied Mathematics, 234: 47-55, 2018. doi  www 
  1. Bou-Fakhreddine, B.; Mougharbel, I.; Faye, A. and Pollet, Y. Estimating daily evaporation from poorly-monitored lakes using limited meteorological data: A case study within Qaraoun dam - Lebanon. In Journal of Environmental Management, 241: 502-513, 2018. doi  www 
  1. Porumbel, D. C. From the separation to the intersection sub-problem in Benders decomposition models with prohibitively-many constraints. In Discrete Optimization, 29: 148-173, 2018. doi  www 
  1. Watel, D. and Faye, A. Taxi-Sharing: Parameterized Complexity and Approximability of the Dial-a-ride problem with money as an incentive. In Theoretical Computer Science, 745: 202-223, 2018. doi  www 
  1. Faye, A. A quadratic time algorithm for computing the optimal landing times of a fixed sequence of planes. In European Journal of Operational Research, 270 (3), 2018. doi  www 

Articles de conférence

  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. MIP Formulations for Just-in-Time Scheduling with Common Due-Date. In International Symposium on Combinatorial Optimization (ISCO 2018), Marrakesh, Morocco, 2018. www 
  1. Alès, Z. and Elloumi, S. Compact MILP formulations for the p-center problem. In ISCO (International Symposium on Combinatorial Optimization) 2018, Marrakesh, France, 2018. www 

2017

Articles de revue

  1. Billionnet, A. How to Take into Account Uncertainty in Species Extinction Probabilities for Phylogenetic Conservation Prioritization. In Environmental Modeling & Assessment, 22 (6): 535-548, 2017. doi  www 
  1. Billionnet, A.; Elloumi, S.; Lambert, A. and Wiegele, A. Using a Conic Bundle Method to Accelerate Both Phases of a Quadratic Convex Reformulation. In INFORMS Journal on Computing, 29 (2): 318-331, 2017. doi  www 
  1. Porumbel, D. C.; Goncalves, G.; Allaoui, H. and Hsu, T. Iterated Local Search and Column Generation to solve Arc-Routing as a permutation set-covering problem. In European Journal of Operational Research, 256 (2): 349-367, 2017. doi  www 
  1. Alès, Z.; Rosa, B. F.; Souza, M. J. F.; de Souza, S. R.; de Franc ca Filho, M. F. and Michelon, P. Y. P. Algorithms for job scheduling problems with distinct time windows and general earliness/tardiness penalties. In Computers and Operations Research, 81: 203-215, 2017. doi  www 

Articles de conférence

  1. Elloumi, S.; Hudry, O.; Marie, E.; Plateau, A. and Rovedakis, S. Optimization of wireless sensor networks deployment with coverage and connectivity constraints. In 2017 4th International Conference on Control, Decision and Information Technologies (CoDIT), pages 0336-0341, IEEE, Barcelona, Spain, IEEE , 2017. doi  www 
  1. Helal, N.; Pichon, F.; Porumbel, D. C.; Mercier, D. and Lefevre, E. A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands. In 14th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2017, Lugano, Switzerland, 2017. www 

Actions de diffusion scientifique

2022

Articles de conférence

  1. Mencarelli, L. An Outer Approximation Algorithm for 0-1 Polynomial Programming. In HUGO 2022 - XV. Workshop on Global Optimization, Szeged, Hungary, 2022. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A partial decomposition approach for solving the stochastic uncapacitated lot-sizing problem. In EURO2022 - 32nd European Conference on Operations Research, Espoo, Finland, 2022. www 
  1. Lambert, A. Exact solution of the OPF problem based on compact quadratically constrained convex relaxation. In 32nd European Conference on Operational Research (EURO 2022), Espoo, Finland, 2022. www 
  1. Dur'an Mateluna, C.; Jorquera-Bravo, N.; Alès, Z. and Elloumi, S. Robust MILP formulations for the two-stage p-Center Problem. In PGMO Days 2022, Palaiseau, France, 2022. www 
  1. Picouleau, C. and Bouquet, V. The Perfect Matching-Cut problem in bipartite graphs with diameter three. In ICGT 2022, Montpellier, France, 2022. www 
  1. Alès, Z.; Huré, V. and Lambert, A. New optimization models for optimal classification trees. In 32nd European Conference on Operational Research (EURO 2022), Espoo, Finland, 2022. www 
  1. Elloumi, S.; Lambert, A.; Neveu, B. and Trombettoni, G. Global Solution of Quadratic Problems by Interval Methods and Convex Reformulation. In HUGO 2022 - 15th Workshop on Global Optimization, Szeged, Hungary, 2022. www 
  1. Mencarelli, L.; Floquet, J.; Georges, F.; Guillaud, B. and Mellouki, W. The Satellite Constellation Design Problem via MI(N)LP Boosted with a Genetic Algorithm. In PGMO Days 2022, Palaiseau, France, 2022. www 
  1. Alès, Z.; Elloumi, S. and Pass-Lanneau, A. Algorithmes de placement optimisé de drones pour la conception de réseaux de communication. In Conference on Artificial Intelligence for Defense (CAID) 2022, Rennes, France, Actes de la 4ème Conference on Artificial Intelligence for Defense (CAID 2022) , 2022. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A partial decomposition approach to solve the stochastic uncapacitated lot-sizing problem. In ECSO-CMS 2022 - European Conference on Stochastic Optimization - Computational Management Science, Venice, Italy, 2022. www 
  1. Porumbel, D. C. Projective Cutting Planes with multiple cuts per iteration for robust linear programming. In PGMO Days 2022, Palaiseau (91), France, 2022. www 

Divers

  1. Yuehgoh, F.; Travers, N. and Djebali, S. A Technology Intelligence Recommendation System based on Multiplex Networks. , Poster. www 
  1. Yuehgoh, F.; Travers, N. and Djebali, S. A Technology Intelligence Recommendation System based on Multiplex Networks. , Poster. www 

2021

Livres

Articles de conférence

  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A partial nested decomposition approach for remanufacturing planning under uncertainty. In IFIP International Conference on Advances in Production Management Systems (APMS), pages 663-672, Springer International Publishing, Nantes, France, Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems AICT-631, 2021. doi  www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. New valid inequalities for a multi-item multi-echelon lot-sizing problem with returns and lost sales. In IWLS 2021 - International Workshop on Lot-Sizing, online streaming, France, 2021. www 
  1. Mencarelli, L.; Floquet, J. and Georges, F. Mixed Integer Nonlinear Approaches for the Satellite Constellation Design Problem. In PGMO DAYS 2021, Palaiseau, France, 2021. www 
  1. Charles, M.; Dauzere-Peres, S.; Kedad-Sidhoum, S. and Mazhoud, I. Capacitated lot-sizing problem with inventory constraints within periods. In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pages 1021-1026, IEEE, Lyon, France, 2021. doi  www 

Rapports

  1. Guillemin, F.; Navas, R.; Aimi, A.; Aubonnet, T.; Kerdoncuff, T-. G.; Secci, S.; Hadjadj-Aoul, Y.; Rovedakis, S. and Boubendir, A. Reference architecture for slicing in LoRAWAN networks. Technical Report, Consortium INTELLIGENTSIA, 2021.

2020

Chapitres d'ouvrage

  1. Etheve, M.; Alès, Z.; Bissuel, C.; Kedad-Sidhoum, S. and Juan, O. Reinforcement Learning for Variable Selection in a Branch and Bound Algorithm. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research. CPAIOR: International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research, pages 176-185, 2020. doi  www 

Articles de conférence

  1. Bentz, C.; Costa, M-C.; Poirion, P-L.; Ridremont, T. and Zakour, C. Wind farm cable layout optimization with constraints of load flow and robustness. In ICREEE 2020: International Conference on Renewable Energy and Environment Engineering, Tokyo (on line), Japan, 2020. www 
  1. Silva, I. F.; Bouhtou, M.; Chardy, M.; Bentz, C. and Kedad-Sidhoum, S. Battery Energy Management of a Telecommunications Company to Participate in the Curtailment Market and Reduce the Total Energy Cost. In 2020 IEEE 8th International Conference on Smart Energy Grid Engineering (SEGE), pages 121-127, IEEE, Oshawa, France, 2020. doi  www 

2019

Articles de conférence

  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. Inégalités linéaires de dominance pour l'ordonnancement juste-`a-temps avec date d'échéance commune non restrictive. In JPOC11 : Journées Polyèdres et Optimisation Combinatoire, Metz, France, 2019. www 
  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. MIP formulations for just-in-time scheduling around a common due-date. In 14th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2019), Renesse, Netherlands, 2019. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. A dynamic programming based decomposition approach for the stochastic uncapacitated single-item lot-sizing problem. In IWLS 2019 - 10th International Workshop on Lot sizing, pages 73-77, Paris, France, 2019. www 
  1. Silva, I. F.; Bentz, C.; Bouhtou, M.; Chardy, M. and Kedad-Sidhoum, S. Energy storage management with energy curtailing incentives in a telecommunications context. In 10th International Workshop on Lot sizing - IWLS 2019, Paris, France, 2019. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. Stochastic lot-sizing problem with remanufacturing: a dual dynamic decomposition approach. In PGMO Days, Paris, France, 2019. www 
  1. Charles, M.; Dauzère-Pérès, S. and Kedad-Sidhoum, S. More realistic test instances for the Capacitated Lot-Sizing Problem. In 30th European Conference On Oparational Research, EURO2019, Dublin, Ireland, 2019. www 
  1. Lambert, A.; Elloumi, S.; Godard, H.; Maeght, J. and Ruiz, M. Solving Alternative Current Optimal Power Flow to Global Optimality with Quadratic Reformulation Using Semi-Definite Programming and Branch-and-Bound. In PGMO days, Palaiseau, France, 2019. www 
  1. Lucas, R.; Alès, Z.; Ramond, F. c. and Elloumi, S. Reducing the Adaptation Costs of a Rolling Stock Schedule with Adaptive Solution: the Case of Demand Changes. In RailNorrk"oping 2019. 8th International Conference on Railway Operations Modelling and Analysis (ICROMA), pages 857-876, Norrk"oping, Sweden, Link"oping Electronic Conference Proceedings 69, 2019. www 
  1. Lambert, A.; Elloumi, S.; Lazare, A. and Rodriguez-Heck, E. The Impact of Quadratization in Convexification-Based Resolution of Polynomial Binary Optimization. In PGMO days, Palaiseau, France, 2019. www 
  1. Charles, M.; Dauzère-Pérès, S.; Kedad-Sidhoum, S. and Mazhoud, I. Parallelized approaches to solve the capacitated lot-sizing problem with lost sales and setup times. In 10th International Workshop on Lot sizing - IWLS 2019, Paris, France, 2019. www 
  1. Silva, I. F.; Bentz, C.; Bouhtou, M.; Chardy, M. and Kedad-Sidhoum, S. Optimizing Battery Usage for a Telecommunications Company Participating in a Curtailing Market. In PGMODays 2019, Paris, France, 2019. www 
  1. Ethève, M.; Alès, Z.; Bissuel, C.; Juan, O. and Kedad-Sidhoum, S. A Graph-based Heuristic for Variable Selection in Mixed Integer Linear Programming. In PGMO Days, Paris, France, 2019. www 

2018

Chapitres d'ouvrage

  1. Alès, Z. and Elloumi, S. Compact MILP formulations for the p-center problem. In Combinatorial Optimization, pages 14-25, Springer, Lecture Notes in Computer Science 10856, 2018. doi  www 

Articles de conférence

  1. Dauzère-Pérès, S.; Absi, N.; Kedad-Sidhoum, S.; Penz, B. and Rapine, C. The single-item green lot-sizing problem with fixed carbon emissions. In European Conference on Operational Reasearch, Valencia, Spain, 2018. www 
  1. Absi, N.; Artigues, C.; Kedad-Sidhoum, S.; Ngueveu, S. U. and Goupil, F. Upper and lower bounds for an energy scheduling problem with piecewise-linear costs and storageresources. In PGMO Days, Paris, France, 2018. www 
  1. Lucas, R.; Alès, Z. and Elloumi, S. A MILP Formulation for Adaptive Solutions in Railway Scheduling. In PGMO Days 2018, Palaiseau, France, 2018. www 
  1. Bentz, C.; Costa, M-C. and Hertz, A. Minimum length disjoint paths and Capacitated (rooted) Steiner Tree. In Euro-Alio International Conference on Applied Combinatorial Optimization Aims and Objectives, Bologna, Italy, 2018. www 
  1. Absi, N.; Artigues, C.; Kedad-Sidhoum, S.; Ngueveu, S. U.; Rannou, J. and Saadi, O. Scheduling energy-consuming jobs on parallel machines with piecewise-linear costs and storage resources: A lot-sizing and scheduling perspective. In 16th International Conference on Project Management and Scheduling - PMS 2018, pages 1-4, TexMat, Rome, Italy, 2018. www 
  1. Milliet de Faverges, M.; Russolillo, G.; Picouleau, C.; Merabet, B. and Houzel, B. Modelling passenger train arrival delays with Generalized Linear Models and its perspective for scheduling at main stations. In 8th International Conference on Railway Engineering (ICRE 2018), IET, London, United Kingdom, 2018. doi  www 
  1. Lambert, A. Valid inequalities for QCQPs. In ISMP 18, Bordeaux, France, 2018. www 
  1. Lambert, A.; Elloumi, S. and Lazare, A. Unconstrained 0-1 polynomial optimization through convex quadratic reformulation. In ISMP 18, Bordeaux, France, 2018. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. Valid inequalities for solving a stochastic lot-sizing problem with returns. In ISMP 2018 - 23rd Symposium on Mathematical Programming, Bordeaux, France, 2018. www 
  1. Falq, A-E.; Fouilhoux, P. and Kedad-Sidhoum, S. Extreme points for scheduling around a common due date. In ISMP International Conference on Mathematical Programming (ISMP 2018), Bordeaux, France, 2018. www 
  1. Quezada, F.; Gicquel, C. and Kedad-Sidhoum, S. Stochastic lot-sizing for remanufacturing planning with lost sales and returns. In IWLS 2018 - 9th International Workshop on Lot sizing, Ubatuba, Brazil, 2018. www 
  1. Ngueveu, S. U.; Absi, N.; Artigues, C.; Kedad-Sidhoum, S. and Goupil, F. Decomposition method in a scheduling problem with energy storage and costs. In International Symposium on Mathematical Programming - ISMP 2018, Bordeaux, France, 2018. www 
  1. Lambert, A.; Elloumi, S.; Godard, H.; Maeght, J. and Ruiz, M. Solve Alternative Current Optimal Power Flow to global optimality. In ISMP 18, bordeaux, France, 2018. www 

2017

Livres

  1. Delacroix, J.; Barthélemy, F. c.; Fournier, R.; Gil-Michalon, I.; Lambert, A.; Plateau, A.; Rovedakis, S.; Simonot, M.; Thion, V. and Waymel, E. Informatique. Dunod, Fluoresciences , 2017. www 

Articles de conférence

  1. Elloumi, S.; Lambert, A. and Lazare, A. Global optimisation of binary polynomial programs. In PGMO Days, Palaiseau, France, 2017. www 
  1. Lambert, A. and Elloumi, S. Quadratic convex reformulation for partitioning problems. In EUROPT 17, Montreal, Canada, 2017. www 
  1. Elloumi, S.; Godard, H.; Lambert, A.; Maeght, J. and Ruiz, M. Solving Optimal Power Flow through reformulation. In 15th EUROPT Workshop on Advances in Continuous Optimization, montréal, Canada, 2017. www 

Thèses/HDR

2022

2021

2020

2019

2018

2017

Thèses et habilitations

Projets en cours

Saint Gobain Medvedev
  • Nom complet: Collaboration cifre Saint Gobian Anton Medvedev: Saint Gobain Medvedev - Financeur: Saint Gobain
  • Durée: April 2022 - March 2025
  • Résumé:
Dotation OC 2024
  • Nom complet: Dotation OC 2024: Dotation OC 2024 - Financeur: Laboratoire Cédric
  • Durée: January 2024 - December 2024
  • Résumé:
PEX Orion 2024
  • Nom complet: PEX Orion 2024: PEX Orion 2024 - Financeur: Laboratoire Cédric
  • Durée: January 2024 - December 2024
  • Résumé:
PEX BATEO 2024
  • Nom complet: PEX BATEO 2024: PEX BATEO 2024 - Financeur: Laboratoire Cédric
  • Durée: January 2024 - December 2024
  • Résumé:

Projets passés

    • Nom complet: Optimisation combinatoire 2021
    • Durée: January 2020 - December 2021
    • Résumé:

    • Nom complet: France GALOP
    • Durée: December 2016 - December 2019
    • Résumé:

    • Nom complet: DIM RFSI no 2018-06
    • Durée: May 2019 - October 2019
    • Résumé:

    • Nom complet: DIM RFSI no 2018-15
    • Durée: February 2019 - December 2019
    • Résumé:

    • Nom complet: RTE GODARD
    • Durée: January 2017 - December 2019
    • Résumé: Ce projet traite de la résolution exacte du problème de l’Optimal Power Flow (OPF). Sa modélisation comme un problème quadratique non convexe sous contraintes quadratiques non convexes place l’OPF dans la catégorie des problèmes d’optimisation difficiles. Des techniques de reformula- tion quadratique convexe en perturbant l’objectif à l’aide d’une matrice SDP ont été récemment développées et appliquées à des problèmes non convexes. Cette refor- mulation quadratique convexe est ici appliquée et spécialisée à la résolution globale de l’OPF à l’aide d’un Spatial Branch and Bound.

    • Nom complet: SPIROPS COLOMBIER
    • Durée: February 2017 - January 2020
    • Résumé:

    • Nom complet: CNCF RESEAU Marie MILLIET
    • Durée: February 2017 - January 2020
    • Résumé:

    • Nom complet: Orange Isaias FARIA
    • Durée: December 2018 - December 2021
    • Résumé:

    • Nom complet: EDF Marc ETHEVE
    • Durée: January 2019 - December 2022
    • Résumé:

    • Nom complet: FRANCE GALOP HOUDAYER
    • Durée: January 2018 - January 2021
    • Résumé:

    • Nom complet: Sté KARDINAL HYOSEOK Kim
    • Durée: October 2020 - September 2023
    • Résumé:

    • Nom complet: Soutien équipe OC 2022
    • Durée: January 2022 - December 2022
    • Résumé:

    • Nom complet: Dotation OC 2023
    • Durée: January 2023 - December 2023
    • Résumé:

    • Nom complet: PEX ORION 2023
    • Durée: January 2023 - December 2023
    • Résumé:

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