Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
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Bibliography

Major publications by the team in recent years
  • 1J.-C. Boisson, L. Jourdan, E.-G. Talbi.
    Metaheuristics based de novo protein sequencing: A new approach, in: Applied Soft Computing, 2011, vol. 11, no 2, pp. 2271-2278.
  • 2C. Dhaenens, J. Lemesre, E.-G. Talbi.
    K-PPM: A new exact method to solve multi-objective combinatorial optimization problems, in: European Journal of Operational Research, 2010, vol. 200, no 1, pp. 45-53.
  • 3J. Figueira, A. Liefooghe, E.-G. Talbi, A. P. Wierzbicki.
    A parallel multiple reference point approach for multi-objective optimization, in: European Journal of Operational Research, 2010, vol. 205, no 2, pp. 390 - 400.
  • 4N. Jozefowiez, F. Semet, E.-G. Talbi.
    Target Aiming Pareto Search and its application to the vehicle routing problem with route balancing, in: Journal of Heuristics, 2007, vol. 13, pp. 455-469.
  • 5A. Khanafer, F. Clautiaux, E.-G. Talbi.
    New lower bounds for bin packing problems with conflicts, in: European Journal of Operational Research, 2010, vol. 2, no 206.
  • 6A. Liefooghe, L. Jourdan, E.-G. Talbi.
    A software framework based on a conceptual unified model for evolutionary multiobjective optimization: ParadisEO-MOEO, in: European Journal of Operational Research, 2010.
  • 7A. Liefooghe, L. Paquete, J. Figueira.
    On local search for bi-objective knapsack problems, in: Evolutionary Computation, 2013, vol. 21, no 1, pp. 179-196. [ DOI : 10.1162/EVCO_a_00074 ]
    http://hal.inria.fr/hal-00676625
  • 8T. V. Luong, N. Melab, E.-G. Talbi.
    GPU Computing for Parallel Local Search Metaheuristics, in: IEEE Transactions on Computers, 2013, vol. 62, no 1, pp. 173-185.
    http://hal.inria.fr/inria-00638805
  • 9M.-E. Marmion, L. Jourdan, C. Dhaenens.
    Fitness Landscape Analysis and Metaheuristics Efficiency, in: Journal of Mathematical Modelling and Algorithms in Operations Research, 2013, vol. 12, no 1, pp. 3-26. [ DOI : 10.1007/s10852-012-9177-5 ]
    http://hal.inria.fr/hal-00807352
  • 10E.-G. Talbi.
    Metaheuristics: From Design to Implementation, Wiley, 2009.
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 11R. Leroy.
    Parallel Branch-and-Bound revisited for solving permutation combinatorial optimization problems on multi-core processors and coprocessors, Université Lille 1, November 2015.
    https://hal.inria.fr/tel-01248563

Articles in International Peer-Reviewed Journals

  • 12I.-C. Bilegan, L. Brotcorne, D. Feillet, Y. Hayel.
    Revenue management for rail container transportation, in: EURO Journal on Transportation and Logistics, 2015, vol. 4, no 2, pp. 261-283.
    http://hal-emse.ccsd.cnrs.fr/emse-01092226
  • 13D. C. Cattaruzza, N. Absi, D. Feillet.
    Vehicle routing problems with multiple trips, in: 4OR: A Quarterly Journal of Operations Research, 2016, forthcoming.
    http://hal-emse.ccsd.cnrs.fr/emse-01250603
  • 14I. Chakroun, N. Melab.
    Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm, in: Journal of Computer and System Sciences, 2015, vol. 81, no 1, pp. 72-84. [ DOI : 10.1016/j.jcss.2014.06.012 ]
    https://hal.inria.fr/hal-01095425
  • 15B. Dorronsoro, S. Nesmachnow, A. Y. Zomaya, E.-G. Talbi, P. Bouvry.
    A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems, in: Sustainable Computing, 2015, vol. 4, no 4, pp. 252-261.
    https://hal.inria.fr/hal-01249475
  • 16F. Dufossé, K. Kaya, B. Uçar.
    Two approximation algorithms for bipartite matching on multicore architectures, in: Journal of Parallel and Distributed Computing, 2015, vol. 85, pp. 62-78. [ DOI : 10.1016/j.jpdc.2015.06.009 ]
    https://hal.inria.fr/hal-01242516
  • 17K. Gagne, P. Loiseau, V. Dubois, F. Dufossé, P. Perrier, A. Dormoy, I. Jollet, V. Renac, D. Masson, C. Picard, X. Lafarge, D. Hanau, F. Quainon, F. Delbos, B. Coeffic, L. Absi, J.-F. Eliaou, V. Moalic, M. Fort, M. De Matteis, I. Theodorou, F. Hau, A. Batho, B. Pedron, S. Caillat-Zucman, E. Marry, N. Raus, I. Yakoub-Agha, A. Cesbron.
    Is there any impact of HLA-DPB1 disparity in 10/10 HLA-matched unrelated hematopoietic SCT? Results of a French multicentric retrospective study, in: Bone Marrow Transplantation, 2015, vol. 50, pp. 232-236. [ DOI : 10.1038/bmt.2014.253 ]
    https://hal.archives-ouvertes.fr/hal-01095283
  • 18J. Gmys, R. Leroy, M. Mezmaz, N. Melab, D. Tuyttens.
    Work Stealing with Private Integer-Vector-Matrix Data Structure for Multi-core Branch-and-Bound Algorithms, in: Concurrency and Computation: Practice & Experience, 2016.
    https://hal.inria.fr/hal-01248336
  • 19Y. Hayel, D. Quadri, T. Jimenez, L. Brotcorne.
    Decentralized optimization of last-mile delivery services with non-cooperative bounded rational customers, in: Annals of Operations Research(AOR), October 2015. [ DOI : 10.1007/s10479-014-1647-x ]
    https://hal.inria.fr/hal-01212016
  • 20J. Jacques, J. Taillard, D. Delerue, C. Dhaenens, L. Jourdan.
    Conception of a dominance-based multi-objective local search in the context of classification rule mining in large and imbalanced data sets, in: Applied Soft Computing, 2015, vol. 34, pp. 705–720. [ DOI : 10.1016/j.asoc.2015.06.002 ]
    https://hal.archives-ouvertes.fr/hal-01216483
  • 21I. Jemili, D. Ghrab, A. Dhraief, B. Abdelfettah, A. Al-Morgen, H. Mathkour, B. Derbel.
    CHRA: a coloring based hierarchical routing algorithm, in: Journal of Ambient Intelligence and Humanized Computing, June 2015, vol. 6, no 1, pp. 69-82. [ DOI : 10.1007/s12652-014-0242-y ]
    https://hal.inria.fr/hal-01249123
  • 22G. Mateusz, P. Bouvry, E.-G. Talbi.
    A survey of evolutionary computation for resource management of processing in Cloud computing, in: IEEE Computational Intelligence Magazine, 2015, vol. 10, no 2, pp. 53-67.
    https://hal.inria.fr/hal-01249480
  • 23S. Nesmachnow, S. Iturriaga, B. Dorronsoro, E.-G. Talbi, P. Bouvry.
    Metaheuristics for the virtual machine mapping problem in Clouds, in: Informatica, 2015, vol. 26, no 1, pp. 111-134.
    https://hal.inria.fr/hal-01249481
  • 24P. Ruiz, B. Dorronsoro, E.-G. Talbi, P. Bouvry.
    Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks, in: Applied Soft Computing, 2015, vol. 32, pp. 494-508.
    https://hal.inria.fr/hal-01249479
  • 25K. Seridi, L. Jourdan, E.-G. Talbi.
    Using multiobjective optimization for biclustering microarray data, in: Applied Soft Computing, 2015, vol. 33, pp. 239–249. [ DOI : 10.1016/j.asoc.2015.03.060 ]
    https://hal.archives-ouvertes.fr/hal-01216477
  • 26E.-G. Talbi.
    Hybrid metaheuristics for multi-objective optimization, in: Journal of Algorithms and Computational Technology, 2015, vol. 9, no 1, pp. 41-59.
    https://hal.inria.fr/hal-01249476
  • 27T.-T. Vu, B. Derbel.
    Parallel Branch-and-Bound in Multi-core Multi-CPU Multi-GPU Heterogeneous Environments, in: Future Generation Computer Systems, March 2016, vol. 56, pp. 95–109. [ DOI : 10.1016/j.future.2015.10.009 ]
    https://hal.inria.fr/hal-01249124

International Conferences with Proceedings

  • 28H. Aguirre, S. Zapotecas-Martínez, A. Liefooghe, S. Verel, K. Tanaka.
    Approaches for many-objective optimization: analysis and comparison on MNK-landscapes, in: 13th International Conference on Artificial Evolution (EA 2015), Lyon, France, Lecture Notes in Computer Science (LNCS), Springer, October 2015, forthcoming.
    https://hal.archives-ouvertes.fr/hal-01178613
  • 29A. Blot, H. Aguirre, C. Dhaenens, L. Jourdan, M.-E. Marmion, K. Tanaka.
    Neutral but a Winner! How Neutrality Helps Multiobjective Local Search Algorithms, in: Evolutionary Multi-Criterion Optimization - 8th International Conference, EMO 2015, Guimar aes, Portugal, March 29 -April 1, 2015. Proceedings, Part I, Unknown, Unknown or Invalid Region, 2015, pp. 34–47. [ DOI : 10.1007/978-3-319-15934-8_3 ]
    https://hal.archives-ouvertes.fr/hal-01216485
  • 30D. Brockhoff, T.-D. Tran, N. Hansen.
    Benchmarking Numerical Multiobjective Optimizers Revisited, in: GECCO'15 - Proceedings of the 24th ACM Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, A. Esparcia, S. Silva (editors), July 2015, pp. 639-646. [ DOI : 10.1145/2739480.2754777 ]
    https://hal.inria.fr/hal-01146741
  • 32B. Derbel, A. Liefooghe, G. Marquet, E.-G. Talbi.
    A fine-grained message passing MOEA/D, in: IEEE Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, 2015, pp. 1837-1844.
    https://hal.archives-ouvertes.fr/hal-01151874
  • 33B. Derbel, P. Preux.
    Simultaneous Optimistic Optimization on the Noiseless BBOB Testbed, in: The 17th IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, May 2015.
    https://hal.inria.fr/hal-01246420
  • 34B. Fisset, C. Dhaenens, L. Jourdan.
    MO-Mineclust: A Framework for Multi-objective Clustering, in: Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers, Lille, France, 2015, pp. 293–305. [ DOI : 10.1007/978-3-319-19084-6_30 ]
    https://hal.archives-ouvertes.fr/hal-01216489
  • 35C. Jankee, S. Verel, B. Derbel, C. Fonlupt.
    Distributed Adaptive Metaheuristic Selection: Comparisons of Selection Strategies, in: 13th International Conference on Artificial Evolution (EA 2015), Lyon, France, Lecture Notes in Computer Science (LNCS), Springer, October 2015, forthcoming.
    https://hal.archives-ouvertes.fr/hal-01178608
  • 36J. Juan, B. Derbel.
    On Maintaining Diversity in MOEA/D: Application to a Biobjective Combinatorial FJSP, in: GECCO'15 - Proceedings of the 24th ACM Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, July 2015, pp. 719-726. [ DOI : 10.1145/2739480.2754774 ]
    https://hal.inria.fr/hal-01249130
  • 37F. Legillon, N. Melab, D. Renard, E.-G. Talbi.
    A Multi-objective Evolutionary Algorithm for Cloud Platform Reconfiguration, in: IEEE NIDISC/IPDPS, Hyderabad, India, May 2015. [ DOI : 10.1109/IPDPSW.2015.138 ]
    https://hal.inria.fr/hal-01248574
  • 38A. Liefooghe, S. Verel, F. Daolio, H. Aguirre, K. Tanaka.
    A feature-based performance analysis in evolutionary multiobjective optimization, in: 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Guimarães, Portugal, Lecture Notes in Computer Science, 2015, vol. 9019, pp. 95-109.
    https://hal.archives-ouvertes.fr/hal-01093266
  • 39A. Liefooghe, S. Verel, L. Paquete, J.-K. Hao.
    Experiments on local search for bi-objective unconstrained binary quadratic programming, in: 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Guimarães, Portugal, Lecture Notes in Computer Science, 2015, vol. 9018, pp. 171-186.
    https://hal.archives-ouvertes.fr/hal-01093261
  • 40N. Melab, R. Leroy, M. Mezmaz, D. Tuyttens.
    Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor, in: Intl. Conf. on High Performance Computing & Simulation (HPCS) 2015, Amsterdam, Netherlands, July 2015. [ DOI : 10.1109/HPCSim.2015.7237067 ]
    https://hal.inria.fr/hal-01248335
  • 41A. Q. Nguyen, P. Bouvry, E.-G. Talbi.
    A new model for VMMP dealing with execution time uncertainty in a multi-clouds system, in: CloudNet‘2015 4th IEEE Int. Conf. on Cloud Networking, Naigara Falls, Canada, October 2015, pp. 165-170. [ DOI : 10.1109/CloudNet.2015.7335300 ]
    https://hal.inria.fr/hal-01249482
  • 42S. Nielsen, G. Danoy, W. Jurkowski, J. L. J. Laredo, R. Schneider, E.-G. Talbi, P. Bouvry.
    A novel multi-objectivisation approach for optimising the protein inverse folding problem, in: EvoStar‘2015 8th European Conf. on the Applications of Evolutionary Computation, Copenhagen, Denmark, 2015, pp. 14-25.
    https://hal.inria.fr/hal-01249483
  • 43S. Nielsen, G. Danoy, E.-G. Talbi, P. Bouvry.
    NK-landscape instances mimicking the protein inverse folding problem towards future benchmarks, in: GECCO'15 - Proceedings of the 24th ACM Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, July 2015.
    https://hal.inria.fr/hal-01249485
  • 44J. Palacios, J. Puente, C. R. Vela, I. Gonzalez-Rodriguez, E.-G. Talbi.
    Surrogate-Assisted Multiobjective Evolutionary Algorithm for Fuzzy Job Shop Problems, in: MIC'2015 Metaheuristics International Conference, Agadir, Morocco, June 2015.
    https://hal.inria.fr/hal-01253515
  • 45A. Tchernykh, U. Schwiegelsohn, V. Alexandrov, E.-G. Talbi.
    Towards understanding uncertainty in Cloud computing resource provisioning, in: ICCS‘2015 Int. Conf. on Computational Science, Reykjavik, Iceland, 2015, pp. 1772-1781.
    https://hal.inria.fr/hal-01249505
  • 46M. Vandromme, J. Jacques, J. Taillard, C. Dhaenens, L. Jourdan.
    Handling numerical data to evolve classification rules using a Multi-Objective Local Search, in: Metaheuristics International Conference (MIC), Agadir, Morocco, June 2015, 10 p.
    https://hal.inria.fr/hal-01249092
  • 47H. Yahyaoui, S. Krichen, B. Derbel, E.-G. Talbi.
    A hybrid ILS-VND based hyper-heuristic for permutation flowshop scheduling problem, in: KES‘2015 19th Int. Conf. on Knowledge-based and Intelligent Information & Engineering Systems, Singapour, Singapore, 2015, pp. 632-641.
    https://hal.inria.fr/hal-01249486
  • 48S. Zapotecas-Martínez, B. Derbel, A. Liefooghe, H. Aguirre, K. Tanaka.
    Geometric Differential Evolution in MOEA/D: A Preliminary Study, in: The 14th LNCS-LNAI International Conference on Artificial Intelligence (MICAI), Cuernavaca, Mexico, Springer (editor), Springer, October 2015, pp. 364-376. [ DOI : 10.1007/978-3-319-27060-9_30 ]
    https://hal.inria.fr/hal-01249127
  • 49S. Zapotecas-Martínez, B. Derbel, A. Liefooghe, D. Brockhoff, H. E. Aguirre, K. Tanaka.
    Injecting CMA-ES into MOEA/D, in: GECCO'15 - Proceedings of the 24th ACM Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, July 2015. [ DOI : 10.1145/2739480.2754754 ]
    https://hal.inria.fr/hal-01146738

Conferences without Proceedings

  • 50D. Brockhoff, B. Bischl, T. Wagner.
    The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study, in: GECCO'15 - Proceedings of the 24th ACM Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, July 2015. [ DOI : 10.1145/2739482.2768470 ]
    https://hal.inria.fr/hal-01161504
  • 51D. Brockhoff.
    A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment, in: Evolutionary Multi-Criterion Optimization, Guimarães, Portugal, Lecture Notes in Computer Science, March 2015, vol. 9018, pp. 187-201. [ DOI : 10.1007/978-3-319-15934-8_13 ]
    https://hal.inria.fr/hal-01161943
  • 52D. Brockhoff.
    Comparison of the MATSuMoTo Library for Expensive Optimization on the Noiseless Black-Box Optimization Benchmarking Testbed, in: Congress on Evolutionary Computation (CEC 2015), Sendai, Japan, May 2015.
    https://hal.inria.fr/hal-01157388
  • 53S. Dufourny, C. Dhaenens.
    An original hybrid approach to optimize economic decisions in a business game, in: Metaheuristics International Conference (MIC), Agadir, Morocco, June 2015.
    https://hal.inria.fr/hal-01249096
  • 55S. Jacquin, L. Jourdan, E.-G. Talbi.
    DYNAMOP Applied to the Unit Commitment Problem, in: LION, Lille, France, January 2015.
    https://hal.inria.fr/hal-01110448
  • 56S. Jacquin, L. Mousin, I. Machado, E.-G. Talbi, L. Jourdan.
    A Comparison of Decoding Strategies for the 0/1 Multi-objective Unit Commitment Problem, in: EMO, Guimaraes, Portugal, March 2015.
    https://hal.archives-ouvertes.fr/hal-01110753
  • 57M.-E. Marmion, O. Regnier-Coudert.
    Fitness Landscape of the Factoradic Representation on the Permutation Flowshop Scheduling Problem, in: Learning and Intelligent Optimization - 9th International Conference LION 9, Lille, France, Springer (editor), January 2015, vol. LNCS, no 8994, 15 p.
    https://hal.inria.fr/hal-01252317
  • 58M. Vandromme, J. Jacques, J. Taillard, L. Jourdan, C. Dhaenens.
    Impact de la discrétisation des données numériques sur l’efficacité d’un algorithme de classification par métaheuristique, in: Conference ROADEF 2015, Marseille, France, February 2015.
    https://hal.inria.fr/hal-01249097

Scientific Books (or Scientific Book chapters)

  • 59J. Hamon, J. Jacques, L. Jourdan, C. Dhaenens.
    Knowledge Discovery in Bioinformatics, in: Springer Handbook of Computational Intelligence, 2015, pp. 1211–1223. [ DOI : 10.1007/978-3-662-43505-2_61 ]
    https://hal.archives-ouvertes.fr/hal-01216511
  • 60E.-G. Talbi, L. Amodeo, F. Yalaoui.
    Metaheuristics for production systems, Springer, October 2015.
    https://hal.inria.fr/hal-01249471
  • 61E.-G. Talbi.
    Parallel evolutionary combinatorial optimization, in: Handbook of Computational Intelligence, J. Kacprzyk, W. Pedrycz (editors), Springer, August 2015, pp. 1107-1125.
    https://hal.inria.fr/hal-01249473

Books or Proceedings Editing

  • 62C. Dhaenens, L. Jourdan, M.-E. Marmion (editors)
    Learning and Intelligent Optimization - 9th International Conference, LION 9, Lille, France, January 12-15, 2015. Revised Selected Papers, Lecture Notes in Computer Science, Springer, France, 2015, vol. 8994. [ DOI : 10.1007/978-3-319-19084-6 ]
    https://hal.archives-ouvertes.fr/hal-01216488

Other Publications

  • 63C. Jankee, S. Verel, B. Derbel, C. Fonlupt.
    New Adaptive Selection Strategies for Distributed Adaptive Metaheuristic Selection, ACM, July 2015, pp. 1405–1406, Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference, Poster. [ DOI : 10.1145/2739482.2764694 ]
    https://hal.archives-ouvertes.fr/hal-01178619
  • 64A. Liefooghe.
    A Correlation Analysis of Set Quality Indicator Values in Multiobjective Optimization, June 2015, working paper or preprint.
    https://hal.archives-ouvertes.fr/hal-01159961
References in notes
  • 65C. A. Coello Coello, D. A. Van Veldhuizen, G. B. Lamont (editors)
    Evolutionary algorithms for solving multi-objective problems, Kluwer Academic Press, 2002.
  • 66M. Basseur.
    Design of cooperative algorithms for multi-objective optimization: Application to the Flow-shop scheduling problem, University of Sciences and Technology of Lille, France, June 2005.
  • 67C. Cotta, E.-G. Talbi, E. Alba.
    Parallel hybrid approaches, in: Parallel Metaheuristics, USA, J. Wiley and Sons, 2005, pp. 347–370.
  • 68K. Deb.
    Multi-objective optimization using evolutionary algorithms, John Wiley and sons, 2001.
  • 69D. E. Goldberg.
    Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, Massachusett, USA, 1989.
  • 70A. J. Nebro, F. Luna, E.-G. Talbi, E. Alba.
    Parallel multi-objective optimization, in: Parallel Metaheuristics, USA, J. Wiley and Sons, 2005, pp. 371–394.
  • 71E.-G. Talbi.
    A Taxonomy of Hybrid Metaheuristics, in: Journal of Heuristics, 2002, vol. 8, no 5, pp. 541–564.