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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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, n^o 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.
  
  $MO-Min{e}_{clust}$: 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, n^o 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, n^o 5, pp. 541–564.