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DOLPHIN - 2013
DOLPHIN - 2013
Project-Team Dolphin
Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
Project-Team Dolphin
Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography


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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.

    http://hal.inria.fr/inria-00522628
  • 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.

    http://hal.inria.fr/inria-00522771
  • 3J. R. 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.

    http://hal.inria.fr/hal-00522619
  • 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.

    http://hal.inria.fr/inria-00522668
  • 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, to appear.

    http://hal.inria.fr/hal-00522612
  • 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

  • 11I. Chakroun.

    Algorithmes Branch and Bound parallèles hétérogènes pour environnements multi-coeurs et multi-GPU, Université des Sciences et Technologie de Lille - Lille I, June 2013.

    http://hal.inria.fr/tel-00841965
  • 12M. Djamai.

    Algorithmes Branch&Bound Pair-à-Pair pour Grilles de Calcul, Université des Sciences et Technologie de Lille - Lille I, March 2013.

    http://hal.inria.fr/tel-00841704
  • 13J. Hamon.

    Optimisation combinatoire pour la sélection de variables en régression en grande dimension : Application en génétique animale, Université des Sciences et Technologie de Lille - Lille I, November 2013.

    http://hal.inria.fr/tel-00920205
  • 14J. Jacques.

    Classification sur données médicales à l'aide de méthodes d'optimisation et de datamining, appliquée au pré-screening dans les essais cliniques, Université des Sciences et Technologie de Lille - Lille I, December 2013.

    http://hal.inria.fr/tel-00919876
  • 15Y. Kessaci.

    Ordonnancement multi-critère sur Clouds, Université des Sciences et Technologie de Lille - Lille I, November 2013.

    http://hal.inria.fr/tel-00915043

Articles in International Peer-Reviewed Journals

  • 16M. Abbasi, L. Paquete, A. Liefooghe, M. Pinheiro, P. Matias.

    Improvements on bicriteria pairwise sequence alignment: algorithms and applications, in: Bioinformatics, 2013, vol. 29, no 8, pp. 996-1003. [ DOI : 10.1093/bioinformatics/btt098 ]

    http://hal.inria.fr/hal-00797793
  • 17D. Bernabe, E. Alba.

    Special issue: Bio-inspired algorithms with structured populations, in: Soft Computing, July 2013, vol. 7, pp. 1107-1108.

    http://hal.inria.fr/hal-00931294
  • 18D. Brockhoff, J. Bader, L. Thiele, E. Zitzler.

    Directed Multiobjective Optimization Based on the Weighted Hypervolume Indicator, in: Journal of Multi-Criteria Decision Analysis, November 2013, vol. 20, no 5-6, pp. 291-317. [ DOI : 10.1002/mcda.1502 ]

    http://hal.inria.fr/hal-00920178
  • 19L. Brotcorne, S. Hanafi, R. Mansi.

    One-level reformulation of the bi-level Knapsack problem using dynamic programming, in: Discrete Optimization, 2013, vol. 10, no 1, pp. 1-10. [ DOI : 10.1016/j.disopt.2012.09.001 ]

    http://hal.inria.fr/hal-00759250
  • 20I. Chakroun, N. Melab, M.-S. Mezmaz, D. Tuyttens.

    Combining multi-core and GPU computing for solving combinatorial optimization problems, in: Journal of Parallel and Distributed Computing, December 2013, vol. 73, no 12, pp. 1563-1577. [ DOI : 10.1016/j.jpdc.2013.07.023 ]

    http://hal.inria.fr/hal-00935890
  • 21I. Chakroun, M. Nouredine.

    Towards an heterogeneous and adaptive parallel Branch-and-Bound algorithm, in: Journal of Computer and System Sciences, 2014.

    http://hal.inria.fr/hal-00935899
  • 22F. Clautiaux, M. Dell Amico, M. Iori, A. Khanafer.

    Lower and Upper Bounds for the Bin Packing Problem with Fragile Objects, in: Discrete Applied Mathematics, 2014, vol. 163, no 1, pp. 73-86.

    http://hal.inria.fr/hal-00689038
  • 23S. Dabia, E.-G. Talbi, T. Van Woensel, T. De Kok.

    Approximating multi-objective scheduling problems, in: Computers and Operations Research, 2013, vol. 40, no 5, pp. 1165-1175.

    http://hal.inria.fr/hal-00830040
  • 24L. Esperet, A. Parreau.

    Acyclic edge-coloring using entropy compression, in: European Journal of Combinatorics, 2013, vol. 34, no 6, pp. 1019-1027. [ DOI : 10.1016/j.ejc.2013.02.007 ]

    http://hal.inria.fr/hal-00843770
  • 25J. Humeau, A. Liefooghe, E.-G. Talbi, S. Verel.

    ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms, in: Journal of Heuristics, 2013, vol. 19, no 6, pp. 881-915. [ DOI : 10.1007/s10732-013-9228-8 ]

    http://hal.inria.fr/hal-00832029
  • 26S. Iturriaga, S. Nesmachnow, D. Bernabe, P. Bouvry.

    Energy efficient scheduling in heterogeneous systems with a parallel multiobjective local search, in: Computing And Informatics, April 2013, vol. 32, pp. 1001-1022.

    http://hal.inria.fr/hal-00872333
  • 27Y. Kessaci, M. Nouredine, T. El-Ghazali.

    A Multi-start Local Search Heuristic for an Energy Efficient VMs Assignment on top of the OpenNebula Cloud Manager, in: Future Generation Computer Systems, August 2013.

    http://hal.inria.fr/hal-00924858
  • 28A. 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
  • 29A. Liefooghe, S. Verel, J.-K. Hao.

    A hybrid metaheuristic for multiobjective unconstrained binary quadratic programming, in: Applied Soft Computing, 2014, vol. 16, pp. 10-19. [ DOI : 10.1016/j.asoc.2013.11.008 ]

    http://hal.inria.fr/hal-00801793
  • 30T. 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
  • 31M.-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
  • 32S. Nesmachnow, D. Bernabe, J. E. Pecero-Sanchez, P. Bouvry.

    Energy-aware scheduling on multicore heterogeneous grid computing systems, in: The Journal of Grid Computing, May 2013. [ DOI : 10.1007/s10723-013-9258-3 ]

    http://hal.inria.fr/hal-00872985
  • 33M. Redouane, E.-G. Talbi, L. Jourdan, B. Sarasola, E. Alba.

    Multi-environmental cooperative parallel metaheuristics for solving dynamic optimization problems, in: The Journal of Supercomputing, 2013, vol. 63, no 3, pp. 836-853.

    http://hal.inria.fr/hal-00806249
  • 34S. Verel, A. Liefooghe, L. Jourdan, C. Dhaenens.

    On the structure of multiobjective combinatorial search space: MNK-landscapes with correlated objectives, in: European Journal of Operational Research, January 2013, vol. 227, no 2, pp. 331-342. [ DOI : 10.1016/j.ejor.2012.12.019 ]

    http://hal.inria.fr/hal-00760097

Invited Conferences

  • 35E.-G. Talbi.

    Keynote speaker: Metaheuristics for multi-objective optimization - from design to implementation, in: EGH'2013 Workshop on Optimization and Applied Mathematics, Colchester, United Kingdom, June 2013.

    http://hal.inria.fr/hal-00836282
  • 36E.-G. Talbi.

    Keynote speaker: Multiobjective metaheuristics, in: ORBEL'2013 27th Annual Conference of the Belgian Operational Research Society, Kortrijk, Belgium, February 2013.

    http://hal.inria.fr/hal-00836273
  • 37E.-G. Talbi.

    Tutorial: Parallel and distributed evolutionary algorithms, in: CEC'2013 Congress on Evolutionary Computation, Cancun, Mexico, June 2013.

    http://hal.inria.fr/hal-00836245

International Conferences with Proceedings

  • 38H. Aguirre, A. Liefooghe, S. Verel, K. Tanaka.

    A study on population size and selection lapse in many-objective optimization, in: IEEE Congress on Evolutionary Computation (CEC 2013), Cancún, Mexico, 2013, pp. 1507-1514.

    http://hal.inria.fr/hal-00825310
  • 39H. Aguirre, A. Liefooghe, S. Verel, K. Tanaka.

    Effects of population size on selection and scalability in evolutionary many-objective optimization, in: Learning and Intelligent OptimizatioN Conference (LION 7), Catania, Italy, Lecture Notes in Computer Science, 2013, vol. 7997, pp. 450-454. [ DOI : 10.1007/978-3-642-44973-4_48 ]

    http://hal.inria.fr/hal-00805164
  • 40A. Auger, D. Brockhoff, N. Hansen.

    Benchmarking the Local Metamodel CMA-ES on the Noiseless BBOB'2013 Test Bed, in: GECCO (Companion), workshop on Black-Box Optimization Benchmarking (BBOB'2013), Amsterdam, Netherlands, July 2013.

    http://hal.inria.fr/hal-00825840
  • 41O. Bahri, N. Ben Amor, E.-G. Talbi.

    A possibilistic framework for solving multi-objective problems under uncertainty, in: IEEE NIDISC Workshop on Nature Inspired Computing, Boston, United States, May 2013.

    http://hal.inria.fr/hal-00837569
  • 42M. Basseur, A. Goëffon, A. Liefooghe, S. Verel.

    On set-based local search for multiobjective combinatorial optimization, in: Genetic and Evolutionary Computation Conference (GECCO 2013), Amsterdam, Netherlands, 2013, pp. 471-478.

    http://hal.inria.fr/hal-00805166
  • 43D. Bernabe, F. Pinel, P. Bouvry, S. U. Khan.

    It's Not a Bug, It's a Feature. Wait-free Asynchronous Cellular Genetic Algorithm, in: 10th International Conference on Parallel Processing and Applied Mathematics, Warsaw, Poland, September 2013.

    http://hal.inria.fr/hal-00872991
  • 44D. Brockhoff, Y. Hamadi, S. Kaci.

    Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization, in: Learning and Intelligent Optimization (LION), Gainesville, FL, United States, Springer, February 2014.

    http://hal.inria.fr/hal-00935231
  • 45I. Chakroun, M. Nouredine.

    Operator-level GPU-accelerated Branch and Bound algorithms, in: International Conference on Computational Science, ICCS, Barcelone, Spain, June 2013.

    http://hal.inria.fr/hal-00807893
  • 46B. Derbel, D. Brockhoff, A. Liefooghe.

    Force-based Cooperative Search Directions in Evolutionary Multi-objective Optimization, in: 7th International Conference on Evolutionary Multi-Criterion Optimization, Sheffield, United Kingdom, March 2013, vol. 7811. [ DOI : 10.1007/978-3-642-37140-0_30 ]

    http://hal.inria.fr/hal-00765179
  • 47D. Ghrab, B. Derbel, I. Jemili, A. Dhraief, A. Belghith, E.-G. Talbi.

    Coloring based Hierarchical Routing Approach, in: The 4th International Conference on Ambient Systems, Networks and Technologies, Halifax, Canada, Elsevier, June 2013.

    http://hal.inria.fr/hal-00782013
  • 48S. Iturriaga, S. Nesmachnow, D. Bernabe, E.-G. Talbi, P. Bouvry.

    A parallel hybrid evolutionary algorithm for the optimization of broker virtual machines subletting in cloud systems, in: The 2-nd International Workshop on Soft Computing Techniques in Cluster and Grid Computing Systems (SCCG), part of the 8th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, Compiegne, France, October 2013.

    http://hal.inria.fr/hal-00872986
  • 49S. Iturriaga, P. Ruiz, S. Nesmachnow, D. Bernabe, P. Bouvry.

    A Parallel Multi-objective Local Search for AEDB Protocol Tuning, in: Nature Inspired Distributed Computing (NIDISC) sessions of the International Parallel and Distributed Processing Symposium (IPDPS) 2013 Workshop, boston, United States, May 2013.

    http://hal.inria.fr/hal-00872994
  • 50J. Jacques, J. Taillard, D. Delerue, L. Jourdan, C. Dhaenens.

    MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets, in: Learning and Intelligent OptimizatioN Conference (LION 7), Catania, Italy, Lecture Notes in Computer Science, 2013, pp. 37-51.

    http://hal.inria.fr/hal-00806757
  • 51J. Jacques, J. Taillard, D. Delerue, L. Jourdan, C. Dhaenens.

    The benefits of using multi-objectivization for mining Pittsburgh partial classification rules in imbalanced and discrete data, in: Genetic and Evolutionary Computation Conference (GECCO 2013), Amsterdam, Netherlands, 2013, pp. 543-550.

    http://hal.inria.fr/hal-00806777
  • 52I. Jemili, D. Ghrab, A. Belghith, B. Derbel, A. Dhraief.

    Collision Aware Coloring Algorithm for wireless sensor networks, in: The 9th International Wireless Communications & Mobile Computing Conference (IWCMC), CAGLIARI, SARDINIA, Italy, IEEE, July 2013.

    http://hal.inria.fr/hal-00808332
  • 53Y. Kessaci, N. Melab, E.-G. Talbi.

    A Pareto-based genetic algorithm for optimized assignment of virtual machines requests in a multi-cloud environment, in: IEEE Conference on Evolutionary computation (CEC), Cancun, Mexico, June 2013.

    http://hal.inria.fr/hal-00837567
  • 54Y. Kessaci, N. Melab, E.-G. Talbi.

    A Pareto-based Genetic Algorithm for Optimized Assignment of VM Requests on a Cloud Brokering Environment, in: CEC - IEEE Congress on Evolutionary Computation - 2013, Cancun, Mexico, 2013.

    http://hal.inria.fr/hal-00835010
  • 55F. Legillon, N. Melab, D. Renard, E.-G. Talbi.

    Cost minimization of service deployment in a multi-cloud environment, in: IEEE Conference on Evolutionary computation (CEC), Cancun, Mexico, June 2013.

    http://hal.inria.fr/hal-00837565
  • 56F. Legillon, N. Melab, E.-G. Talbi.

    Cost minimization of service deployment in a public cloud environment, in: IEEE NIDISC Workshop on Nature Inspired Computing, Boston, United States, May 2013.

    http://hal.inria.fr/hal-00837570
  • 57A. Liefooghe, S. Verel, H. Aguirre, K. Tanaka.

    What makes an instance difficult for black-box 0-1 evolutionary multiobjective optimizers?, in: International Conference on Artificial Evolution (EA 2013), Bordeaux, France, Lecture Notes in Computer Science, Springer, 2013.

    http://hal.inria.fr/hal-00855252
  • 58M.-E. Marmion, A. Blot, L. Jourdan, C. Dhaenens.

    Neutrality in the Graph Coloring Problem, in: Learning and Intelligent OptimizatioN Conference, Catania, Italy, P. Pardalos, G. Nicosia (editors), LNCS (Springer), 2013, pp. 125–130.

    http://hal.inria.fr/hal-00919750
  • 59N. Melab, T. V. Luong, K. Boufaras, E.-G. Talbi.

    ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics, in: ACM GECCO'2013, Amsterdam, Netherlands, July 2013.

    http://hal.inria.fr/hal-00841956
  • 60M.-S. Mezmaz, R. Leroy, N. Melab, D. Tuyttens.

    A Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System, in: IPDPS 2014 : 28th IEEE International Parallel & Distributed Processing Symposium, Phoenix (Arizona), United States, IEEE (editor), Manish Parashar (Rutgers University, USA), May 2014.

    http://hal.inria.fr/hal-00934841
  • 61S. Nesmachnow, S. Iturriaga, D. Bernabe, E.-G. Talbi, P. Bouvry.

    List scheduling heuristics for virtual machine mapping in cloud systems, in: VI Latin American Symposium on High Performance Computing (HPCLatam), Mendoza, Argentina, July 2013.

    http://hal.inria.fr/hal-00872987
  • 63F. Pinel, D. Bernabe, P. Bouvry, S. U. Khan.

    Savant: Automatic Parallelization of a Scheduling Heuristic with Machine Learning, in: Fifth World Congress on Nature and Biologically Inspired Computing (NaBIC), Fargo, United States, August 2013.

    http://hal.inria.fr/hal-00872988
  • 64J. Schleich, G. Danoy, D. Bernabe, P. Bouvry.

    An Overlay Approach for Optimising Small-World Properties in VANETs, in: EVOCOMNET/EVOApplications, part of EVO*, Vienna, Austria, April 2013.

    http://hal.inria.fr/hal-00872995
  • 65M. Seredynski, D. Bernabe, D. Khadraoui.

    Comparison of Green Light Optimal Speed Advisory Approaches, in: 16th International IEEE Annual Conference on Intelligent Transportation Systems, the hague, Netherlands, October 2013.

    http://hal.inria.fr/hal-00872992
  • 66K. Seridi, L. Jourdan, E.-G. Talbi.

    Multi-objective path relinking for biclustering: application to microarray data, in: EMO'2013 Evolutionary Multi-objective Optimization, Sheffield, United Kingdom, March 2013, pp. 200-214.

    http://hal.inria.fr/hal-00837571
  • 67K. Seridi, L. Jourdan, E.-G. Talbi.

    Multiobjective Path Relinking for Biclustering: Application to Microarray Data, in: Evolutionary Multi-Criterion Optimization - 7th International Conference, EMO 2013, Sheffield, United Kingdom, R. C. Purshouse, P. J. Fleming, C. M. Fonseca, S. Greco, J. Shaw (editors), Springer, 2013, vol. 7811, pp. 200-214.

    http://hal.inria.fr/hal-00825857
  • 68A.-A. Tantar, A. Q. Nguyen, P. Bouvry, B. Dorronsoro, E.-G. Talbi.

    Computational intelligence for cloud management: current trends and opportunities, in: Proceedings of the IEEE Congress on Evolutionary Computation (CEC), part of World Conference in Computational Intelligence (WCCI), Cancun, Mexico, June 2013.

    http://hal.inria.fr/hal-00837568
  • 69T.-D. Tran, D. Brockhoff, B. Derbel.

    Multiobjectivization with NSGA-II on the Noiseless BBOB Testbed, in: GECCO (Companion), workshop on Black-Box Optimization Benchmarking (BBOB'2013), Amsterdam, Netherlands, July 2013.

    http://hal.inria.fr/hal-00825831
  • 70H. Trautmann, T. Wagner, D. Brockhoff.

    R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection, in: Learning and Intelligent OptimizatioN Conference (LION 7), Catania, Italy, January 2013, short paper.

    http://hal.inria.fr/hal-00807901
  • 71T.-T. Vu, B. Derbel, N. Melab.

    Adaptive Dynamic Load Balancing in Heterogenous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search, in: 7th International Learning and Intelligent OptimizatioN Conference (LION), Catania, Italy, Lecture Notes in Computer Science, January 2013.

    http://hal.inria.fr/hal-00765199
  • 72T.-T. Vu, F. Huet.

    A Lightweight Continuous Jobs Mechanism for MapReduce Frameworks, in: 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2013, Netherlands, June 2013, pp. 269-276.

    http://hal.inria.fr/hal-00916103
  • 73T. Wagner, H. Trautmann, D. Brockhoff.

    Preference Articulation by Means of the R2 Indicator, in: Evolutionary Multi-criterion Optimization (EMO 2013), Sheffield, United Kingdom, March 2013, vol. 7811, pp. 81-95. [ DOI : 10.1007/978-3-642-37140-0_10 ]

    http://hal.inria.fr/hal-00807867
  • 74H. Yahyaoui, S. Krichen, B. Derbel, E.-G. Talbi.

    A Variable Neighborhood Descent for solving the Single Machine Total Weighted Tardiness Problem, in: The 5th international conference on modeling, simulation and applied optimization (ICMSAO), Hammamet, Tunisia, IEEE, April 2013.

    http://hal.inria.fr/hal-00808361

Conferences without Proceedings

  • 75D. Arenas, R. Chevrier, C. Dhaenens, S. Hanafi, J. Rodriguez.

    Application of a Co-evolutionary Genetic Algorithm to solve the Periodic Railway Timetabling Problem, in: International Conference on Industrial Engineering and Systems Management, Rabat, Morocco, October 2013.

    http://hal.inria.fr/hal-00879745
  • 76J. Hamon, C. Dhaenens, G. Even, J. Jacques.

    Feature selection in high dimensional regression problems for genomic, in: Tenth International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, Nice, France, June 2013.

    http://hal.inria.fr/hal-00839705
  • 77J. Hamon, C. Dhaenens, G. Even, J. Jacques.

    Modèles mixtes en génétique animale : sélection de variables par optimisation combinatoire, in: 45ème Journées De Statistiques, Toulouse, France, May 2013.

    http://hal.inria.fr/hal-00839707
  • 78M.-E. Marmion, A. Blot, L. Jourdan, C. Dhaenens.

    Neutralité du problème de coloration de graphe, in: ROADEF 2013 : 14e congrès de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, Troyes, France, 2013.

    http://hal.inria.fr/hal-00840361

Scientific Books (or Scientific Book chapters)

  • 79M. Basseur, A. Liefooghe.

    Metaheuristics for bi-objective flowshop scheduling, in: Metaheuristics for production scheduling, Wiley & Sons, 2013.

    http://hal.inria.fr/hal-00825307
  • 80E.-G. Talbi.

    Metaheuristics for bi-level optimization, Springer, May 2013, 288 p.

    http://hal.inria.fr/hal-00843857
  • 81E.-G. Talbi.

    A taxonomy of metaheuristics for bilevel optimization, in: Metaheuristics for bilevel optimization, E.-G. Talbi (editor), Springer, May 2013.

    http://hal.inria.fr/hal-00838136

Internal Reports

  • 82J. Humeau, A. Liefooghe, E.-G. Talbi, S. Verel.

    ParadisEO-MO: From Fitness Landscape Analysis to Efficient Local Search Algorithms, Inria, 2013, no RR-7871.

    http://hal.inria.fr/hal-00665421
  • 83M.-E. Marmion, A. Blot, L. Jourdan, C. Dhaenens.

    Neutrality in the Graph Coloring Problem, Inria, January 2013, no RR-8215, 15 p.

    http://hal.inria.fr/hal-00781001
References in notes
  • 84C. A. Coello Coello, D. A. Van Veldhuizen, G. B. Lamont (editors)

    Evolutionary algorithms for solving multi-objective problems, Kluwer Academic Press, 2002.
  • 85H. E. Aguirre, K. Tanaka.

    Working principles, behavior, and performance of MOEAs on MNK-landscapes, in: European Journal of Operational Research, 2007, vol. 181, no 3, pp. 1670–1690.
  • 86M. 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.
  • 87C. Cotta, E.-G. Talbi, E. Alba.

    Parallel hybrid approaches, in: Parallel Metaheuristics, USA, J. Wiley and Sons, 2005, pp. 347–370.
  • 88K. Deb.

    Multi-objective optimization using evolutionary algorithms, John Wiley and sons, 2001.
  • 89D. E. Goldberg.

    Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, Reading, Massachusett, USA, 1989.
  • 90S. A. Kauffman.

    The Origins of Order, Oxford University Press, 1993.
  • 91G. Kochenberger, F. Glover, B. Alidaee, C. Rego.

    A unified modeling and solution framework for combinatorial optimization problems, in: OR Spectrum, 2004, vol. 26, no 2, pp. 237–250.
  • 92A. 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.
  • 93E.-G. Talbi.

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