You can also find them here: hal, dblp

Editorials

  1. N. Melab, J. Gmys, P. Korosec and I. Chakroun. Synergy between parallel computing, optimization and simulation. Journal of Computational Science, Vol. 44: 101168, 2020.

  2. N. Melab, A. Y. Zomaya and I. Chakroun. Parallel optimization using/for multi and many-core high performance computing. Journal of Parallel Distributed Computing 112: pp.109-110 (2018).

  3. P. Korosec, N. Melab and E-G. Talbi. Bioinspired Optimization Methods and Their Applications - 8th International Conference, BIOMA 2018, Paris, France, May 16-18, 2018, Proceedings. Lecture Notes in Computer Science 10835, Springer 2018, ISBN 978-3-319-91640-8, [hal:hal-01942377].

  4. N. Melab and M. Mezmaz. Multi and many-core computing for parallel metaheuristics. In Concurrency and Computation: Practice and Experience, Wiley, Vol. 29(9), pages 1-5, 2017.

Journal articles

  1. A. Hebbal, L. Brevault, M. Balesdent, N. Melab and E-G. Talbi. Deep Gaussian process for multi-objective Bayesian optimization. Optimization and Engineering, July 2022, [doi:10.1007/s11081-022-09753-0], [hal:hal-03770763].

  2. A. Hebbal, L. Brevault, M. Balesdent, E-G. Talbi and N. Melab. Multi-fidelity modeling with different input domain definitions using Deep Gaussian Processes. Structural and Multidisciplinary Optimization 63, 5, Feb. 2021, p. 2267–2288, https://arxiv.org/abs/2006.15924, [doi:10.1007/s00158-020-02802-1], [hal:hal-03046270].

  3. J. Gmys, M. Mezmaz, N. Melab and D. Tuyttens. A computationally efficient Branch-and-Bound algorithm for the permutation Flow-shop scheduling problem. European Journal of Operational Research (EJOR), Elsevier, Vol. 284(3), pages 814-833, https://doi.org/10.1016/j.ejor.2020.01.039, 2020.

  4. J. Gmys, T. Carneiro, N. Melab, E-G. Talbi and D. Tuyttens. A comparative study of high-productivity high-performance programming languages for parallel metaheuristics. Swarm and Evolutionary Computation, Elsevier, Vol. 57, 100720, 2020.

  5. T. Carneiro, J. Gmys, N. Melab and D. Tuyttens. Towards ultra-scale Branch-and-Bound using a high-productivity language. Future Generation Computer Systems, Elsevier, 10.1016/j.future.2019.11.011, Vol. 105, pages 196-209, April 2020.

  6. G. Briffoteaux, R. Ragonnet, M. Mezmaz, N. Melab and D. Tuyttens. Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control. Future Gener. Comput. Syst., Vol. 113, pages 454-467, 2020.

  7. G. Briffoteaux, M. Gobert, R. Ragonnet, J. Gmys, M. Mezmaz, N. Melab and D. Tuyttens. Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm Evol. Comput. Vol. 57, 100717, 2020.

  8. T. Carneiro Pessoa, J. Gmys, F. Heron de Carvalho Junior, N. Melab, D. Tuyttens. GPU-accelerated backtracking using CUDA Dynamic Parallelism. Concurrency and Computation: Practice and Experience 30(9) (2018).

  9. N. Melab, J. Gmys, M. Mezmaz and D. Tuyttens. Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems. Future Generation Computer Systems, Elsevier, Vol. 82: 472-481 (2018).

  10. E. Alekseeva, M. Mezmaz, D. Tuyttens and N. Melab. Parallel multi-core hyper-heuristic GRASP to solve permutation flow-shop problem. In Concurrency and Computation: Practice and Experience, Wiley, Vol. 29(9), 2017.

  11. J. Gmys, M. Mezmaz, N. Melab, D. Tuyttens. IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. Concurrency and Computation: Practice and Experience, Wiley, Vol. 29(9), 2017.

  12. J. Gmys, M. Mezmaz, N. Melab and D. Tuyttens. IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. In Concurrency and Computation: Practice and Experience, Wiley, Vol. 28(18): pages 4463-4484, 2016.

  13. J. Gmys, R. Leroy, M. Mezmaz, N. Melab and D. Tuyttens. Work Stealing with Private Integer-Vector-Matrix Data Structure for Multi-core Branch-and-Bound Algorithms. In Concurrency and Computation: Practice and Experience, Wiley, Vol. 28(18), pages 4461–4557, 2016.

  14. J. Gmys, M. Mezmaz, N. Melab and D. Tuyttens. A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure. Parallel Computing journal, Elsevier, Vol. 59, pages 119–139, Nov. 2016.

  15. I. Chakroun and N. Melab. Towards an heterogeneous and adaptive parallel Branch-and-Bound algorithm. Journal of Computer and System Sciences, Elsevier, Vol. 81(1), pp 72-84, 2015.

  16. A. Bendjoudi, N. Melab and E-G. Talbi. FTH-B&B: a Fault Tolerant Hierarchical Branch and Bound for Large Scale Unreliable Environments. IEEE Transactions on Computers, Vol. 63(9), pages 2302-2315, 2014.

  17. N. Melab, I. Chakroun and A. Bendjoudi. Graphics processing unit-accelerated bounding for branch-andbound applied to a permutation problem using data access optimization. Concurrency and Computation: Practice and Experience, Wiley, Vol. 26(16), pages 2667-2683, 2014.

  18. M. Mezmaz, M. Mehdi, P. Bouvry, N. Melab, E-G. Talbi and D. Tuyttens. Solving the three dimensional quadratic assignment problem on a computational grid. Cluster Computing journal, Springer, Vol. 17(2), pages 205-217, 2014.

  19. Y. Kessaci, N. Melab and E-G. Talbi. A multi-start local search heuristic for an energy efficient VMs assignment on top of the OpenNebula cloud manager. Future Generation Computer Systems, Elsevier, Vol. 36, pages 237-256, 2014.

  20. Y. Kessaci, N. Melab, E-G. Talbi. A Pareto-based metaheuristic for scheduling HPC applications on a geographically distributed cloud federation. Cluster Computing, Springer, Vol. 16(3), pages 451-468, 2013.

  21. I. Chakroun, M. Mezmaz, N. Melab, A. Bendjoudi. Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm. Concurrency and Computation: Practice and Experience, Wiley, Vol. 25(8), pages 1121-1136, 2013.

  22. I. Chakroun, N. Melab, M-S. Mezmaz, D. Tuyttens. Combining multi-core and GPU computing for solving combinatorial optimization problems. Journal of Parallel and Distributed Computing, Elsevier, Vol. 73(12), pages 1563-1577, 2013.

  23. T-V. Luong, N. Melab, E-G. Talbi. GPU Computing for Parallel Local Search Metaheuristic Algorithms. IEEE Transactions on Computers, Vol. 62(1), pages 173-185, 2013.

  24. A. Bendjoudi, N. Melab, E-G. Talbi. Hierarchical branch and bound algorithm for computational grids. Future Generation Computer Systems, Elsevier, Vol. 28(8), pages 1168-1176, 2012.

  25. L. Loukil, M. Mehdi, N. Melab, E-G. Talbi, P. Bouvry. Parallel Hybrid Genetic Algorithms for Solving Q3AP on Computational Grid. Intl. Journal of Foundations of Computer Science, Vol. 23(2), pages 483500, 2012.

  26. A. Bendjoudi, N. Melab, E-G. Talbi. An adaptive hierarchical master-worker (AHMW) framework for grids - Application to B&B algorithms. Journal of Parallel and Distributed Computing, Elsevier, Vol. 72(2), pages 120-131, 2012.

  27. M. Mezmaz, N. Melab, Y. Kessaci, Y.C. Lee, E.-G. Talbi, A.Y. Zomaya, D. Tuyttens. A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. Journal of Parallel and Distributed Computing, Elsevier, Vol.71(11), pages 1497-1508, Nov. 2011.

  28. T-V. Luong, N. Melab and E-G. Talbi. Neighborhood Structures for GPU-based Local Search Algorithms. Parallel Processing Letters, Vol. 20, No. 4, pp. 307-324, Dec. 2010.

  29. M. Mehdi, M. Mezmaz, N. Melab, E-G.Talbi and P. Bouvry. P2P Computing for Large Tree Explorationbased Exact Optimisation. In Intl. Journal of Grid, and Utility Computing (IJGUC), Inderscience publishers, Vol.1(3), Pages 252-260, 2009.

  30. A. Bendjoudi, N. Melab, E-G. Talbi. P2P Design and Implementation of a Parallel Branch and Bound Algorithm for Grids. In Intl. Journal of Grid, and Utility Computing (IJGUC), Inderscience publishers, Vol. 1(2), Pages 159 – 168, 2009.

  31. A-A. Tantar, N. Melab and E-G. Talbi. A grid-based genetic algorithm combined with an adaptive simulated annealing for protein structure prediction. In Soft Computing, Spec. Issue on Distributed Bioinspired Algorithms, Vol. 12(12), Springer-Verlag, Pages 1185-1198, 2008.

  32. A-A. Tantar, S. Conilleau, B. Parent, N. Melab, L. Brillet, S. Roy, E-G. Talbi, D. Horvath. Docking and Biomolecular Simulations on Computer Grids: Status and Trends. In Current Computer-Aided Drug Design, Vol.4 (3), Bentham Science Publishers, Pages 235-249, 2008.

  33. J-M. Pierson, J. Gossa, P. Wherle, Y. Cardenas, S. Cahon, M.E. Samad, L. Brunie, C. Dhaenens, A. Hameurlain, N. Melab, M. Miquel, F. Morvan, E-G. Talbi, A. Tchounikine. GGM Efficient Navigation and Mining in Distributed Geno-Medical Data. In IEEE Transactions on Nanobioscience, Vol. 6(2), pages 110116, 2007.

  34. E-G. Talbi, S. Cahon and N. Melab. Designing cellular networks using a parallel hybrid metaheuristic. Journal of Computer Communications, Elsevier Science, Vol. 30(4), pages 698-713, 2007.

  35. A-A. Tantar, N. Melab and E-G. Talbi, O. Dragos and B. Parent. A Parallel Hybrid Genetic Algorithm for Protein Structure Prediction on the Computational Grid. Future Generation Computer Systems, Elsevier Science, Vol. 23(3), pages 398-409, 2007.

  36. M. Mezmaz, N. Melab and E-G. Talbi. An Efficient Load Balancing Strategy for Grid-based Branch and Bound Algorithm. Parallel Computing Journal, Elsevier Science, Vol. 33(4-5), pages 302-313, 2007.

  37. M. Mezmaz, N. Melab and E-G. Talbi. Combining Metaheuristics and Exact Methods for Solving Exactly Multi-Objective Problems on the Grid. Journal of Mathematical Modelling and Algorithms (JMMA), Springer Verlag, Vol. 6(3), pages 393-409, 2007.

  38. N. Melab, M. Mezmaz and E-G. Talbi. Parallel Cooperative Meta-heuristics on the Computational Grid. A Case Study: The Bi-objective Flow-Shop Problem. Parallel Computing Journal, Elsevier Science, Vol. 32(9), pages 643-659, 2006.

  39. R. Bolze, F. Cappello, E. Caron, M. Daydé, F. Desprez, E. Jeannot, Y. Jégou, S. Lanteri, J. Leduc, N. Melab, G. Mornet, R. Namyst, P. Primet, B. Quetier, O. Richard, E.-G. Talbi, T. Irena. Grid'5000: a large scale and highly reconfigurable experimental Grid testbed. Intl. Journal of High Performance Computing Applications, Vol. 20(4), pages 481-494, 2006.

  40. N. Melab, S. Cahon, E-G. Talbi. Grid computing for parallel bioinspired algorithms. Journal of Parallel and Distributed Computing (JPDC), Elsevier Science, Vol. 66(8), pages 1052-1061, Aug. 2006 http://top25.sciencedirect.com/index.php?cat_id=9&subject_area_id=7&journal_id=07437315.

  41. S. Cahon, N. Melab and E-G. Talbi. ParadisEO: a Framework for the Reusable Design of Parallel and Distributed Metaheuristics. Journal of Heuristics, Kluwer Academic Publishers, Vol.10 (3), ISSN:13811231, pages 357-380, 2004.

  42. S. Cahon, N. Melab and E-G. Talbi. Building with ParadisEO Reusable Parallel and Distributed Evolutionary Algorithms. Parallel Computing Journal, Elsevier Science, Vol 30(5-6), pages 677-697, 2004.

  43. N. Melab, E-G. Talbi and S. Petiton. A Parallel Adaptive Gauss-Jordan Algorithm. The Journal of Supercomputing, Kluwer Academic Publishers, Vol. 17(2), pages 167-185, January, 2001.

  44. N. Melab. Data Mining: a Key Contribution to E-Business. Information & Communications Technology Law, Taylor & Francis Ltd, Vol. 10(3), pages 309-318, October 2001.

  45. N. Melab and E-G. Talbi. Parallel adaptive computing on meta-systems including NOWs. Parallel Computing, Elsevier Science, Vol.26 (2-3), pages 267-284, 2000.

  46. L. Deruelle, M. Bouneffa, N. Melab and H. Basson. An expert system-based change propagation process for web sites maintenance. Ed. Hermes, ISI-NIS (Réingénierie des données et des documents sur le web), Vol. 6, No. 1, pages 123-148, 2001

Conference articles

  1. J. Gamot, R. Wuilbercq, M. Balesdent, A. Tremolet, N. Melab and E-G. Talbi. Component Swarm Optimization using Virtual Forces for Solving Layout Problems, in : 13th International Conference on Swarm Intelligence, Madric, Spain, November 2022, [hal:hal-03772351].

  2. G. Briffoteaux, N. Melab, M. Mezmaz and D. Tuyttens. Hybrid Acquisition Processes in Surrogate-based Optimization. Application to Covid-19 Contact Reduction, in : BIOMA 2022 - Intl. Conf. on Bioinspired Optimisation Methods and Their Applications, Maribor, Slovenia, November 2022, [hal:hal-03770742].

  3. N. Frohner, J. Gmys, N. Melab, G. Raidl and E-G. Talbi. Parallel Beam Search for Combinatorial Optimization, in : International Workshop on Parallel and Distributed Algorithms and Decision Sciences (PDADS 2022), Bordeaux, France, August 2022, [hal:hal-03773423].

  4. G. Briffoteaux, R. Ragonnet, P. Tomenko, M. Mezmaz, N. Melab and D. Tuyttens. Comparing Parallel Surrogate-based and Surrogate-free Multi-Objective Optimization of COVID-19 vaccines allocation, in : OLA 2022 - Intl. Conf. on Optimization and Learning, Syracuse, Italy, July 2022, [hal:hal-03689674].

  5. J. Gmys, L. Koutsantonis, N. Melab, E. Kieffer and P. Bouvry. A Local Search for Automatic Parameterization of Distributed Tree Search Algorithms, in : IPDPSw/PDCO 2022 - 12th IEEE Workshop Parallel / Distributed Combinatorics and Optimization, Lyon, France, May 2022, [hal:hal-03619760].

  6. M. Gobert, J. Gmys, J.-F. Toubeau, N. Melab, D. Tutyttens and F. Vallée. Parallel Bayesian Optimization for Optimal Scheduling of Underground Pumped Hydro-Energy Storage Systems, in : IPDPSw/PDCO 2022 - 12th IEEE Workshop Parallel / Distributed Combinatorics and Optimization, Lyon, France, May 2022, [hal:hal-03701671].

  7. G. Helbecque, J. Gmys, J. Gmys, N. Melab and P. Bouvry. A performance-oriented comparative study of the Chapel high-productivity language to conventional programming environments, in : 13th Intl. Workshop on Programming Models and Applications for Multicores and Manycores (PMAM’22), Seoul, South Korea, April 2022, [hal:hal-03629798].

  8. T. Carneiro and N. Melab. Towards Ultra-scale Exact Optimization Using Chapel, in : The 8th Annual Chapel Implementers and Users Workshop, Seattle, United States, June 2021, [hal:hal-03326294].

  9. G. Briffoteaux, R. Ragonnet, M. Mezmaz, N. Melab and D. Tuyttens. Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms. In Proc. of HPCS 2020 - The 18th Intl. Conf. on High Performance Computing & Simulation, Barcelona / Virtual, Spain, March 2021, [hal:hal-03332521].

  10. T. Carneiro, N. Melab, A. Hayashi and V. Sarkar. Towards Chapel-based Exascale Tree Search Algorithms: dealing with multiple GPU accelerators. In Proc. of HPCS 2020 - The 18th Intl. Conf. on High Performance Computing & Simulation, Barcelona / Virtual, Spain, March 2021, [hal:hal-03149394]. Outstanding Paper Award.

  11. M. Gobert, J. Gmys, N. Melab and D. Tutyttens. Space Partitioning with multiple models for Parallel Bayesian Optimization, in : OLA 2021 - Optimization and Learning Algorithm, Sicilia / Virtual, Italy, June 2021, [hal:hal-03324642].

  12. M. Gobert, J. Gmys, N. Melab and D. Tutyttens. Adaptive Space Partitioning for Parallel Bayesian Optimization. In Proc. of HPCS 2020 - The 18th Intl. Conf. on High Performance Computing & Simulation, Barcelona / Virtual, Spain, March 2021, [hal:hal-03121209].

  13. N. Frohner, J. Gmys, N. Melab, G. Raidl and E-G. Talbi. Parallel Beam Search for Combinatorial Optimization, in : SoCS 2022 - 15th Intl. Symposium on Combinatorial Search, Vienne, Austria, July 2022, [hal:hal-03689638].

  14. G. Briffoteaux, R. Ragonnet, M. Mezmaz, N. Melab and D. Tuyttens. Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm. in : OLA’2020 - Intl. Conf. on Optimization and Learning, Cadiz, Spain, February 2020, [hal:hal-02867819].

  15. T. Carneiro and N. Melab. Productivity-Aware Design and Implementation of Distributed Tree-Based Search Algorithms. In Proc. of Intl. Conf. on Computational Science (ICCS), LNCS 11536, Pages 253-266, 2019.

  16. T. Carneiro and N. Melab. An Incremental Parallel PGAS-based Tree Search Algorithm. In IEEE Proc. of Intl. Conf. on High-Performance Computing & Simulation (HPCS), Dublin, Ireland, July 15-19, 2019.

  17. A. Hebbal, L. Brevault, M. Balesdent, E-G. Talbi and N. Melab. Multi-fidelity modeling using DGPs: Improvements and a generalization to varying input space dimensions. In Proc./Poster of Bayesian Deep Learning Workshop (BDL’2019), in conjunction with 33rd Conf. on Neural Information Processing Systems (NeurIPS’2019), Dec. 8-14, Vancouver, Canada, 2019.

  18. M. Gobert, F. Vallee, J. Gmys, N. Melab, J-F. Toubeau and D. Tuyttens. Surrogate-Assisted Optimization for Multi-stage Optimal Scheduling of Virtual Power Plants. In IEEE Proc. of Intl. Conf. on High-Performance Computing and Simulation (PaCOS/HPCS), Dublin, Ireland, July 15-19, 2019.

  19. A Hebbal, L Brevault, M Balesdent, EG Talbi and N Melab. Multi-objective optimization using Deep Gaussian Processes: Application to Aerospace Vehicle Design. AIAA Scitech 2019 Forum, 2019.

  20. A. Hebbal, L. Brevault, M. Balesdent, E-G. Taibi, N. Melab. Efficient Global Optimization Using Deep Gaussian Processes. IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, July 8-13, 2018.

  21. G. Briffoteaux, N. Melab, M. Mezmaz, D. Tuyttens: An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization. In IEEE Proc. of Intl. Conf. on High-Performance Computing & Simulation (HPCS), Pages 802-809, Orleans, France, July 16-20, 2018.

  22. T. Carneiro, J. Gmys, N. Melab, F.H. de Carvalho Junior, P. P. Rebouças Filho and D. Tuyttens. Dynamic Configuration of CUDA Runtime Variables for CDP-Based Divide-and-Conquer Algorithms. In Proc. of 13th Intl. Meeting on HPC for Computational Science (VECPAR 2018), São Paulo, Brazil, Sept. 17-19, LNCS 11333, pages 16-30, 2018.

  23. T. C. Pessoa, J. Gmys, N. Melab, D. C. J. Francisco Heron, D. Tuyttens. A GPU-Based Backtracking Algorithm for Permutation Combinatorial Problems. In Proc. of 16th Intl. Conf. ICA3PP, Granada, Spain, Springer Intl. Publishing, Algorithms and Architectures for Parallel Processing, LNCS, 10048, Dec 2016.

  24. I. Chakroun and N. Melab. HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm. In Proc. of HPCS 2016, pages 729-735, Innsbruck, Austria, July 18-22, 2016.

  25. N. Melab, R. Leroy, M Mezmaz and D. Tuyttens. Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor. In IEEE Proc. of Intl. Conf. on High Performance Computing & Simulation (HPCS), pages 394 – 399, Amsterdam, The Netherlands, July 20-24, 2015.

  26. F. Legillon, N. Melab, D. Renard and E-G. Talbi. A Multi-objective Evolutionary Algorithm for Cloud Platform Reconfiguration. In Proc. of IEEE IPDPS Workshops 2015, pages 286-291, 2015.

  27. J. Gmys, M. Mezmaz, N. Melab and D. Tuyttens. IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU. In Proc. of PPAM'2015, pages 548-558, 2015. Best Paper Award.

  28. M. Mezmaz, R. Leroy, N. Melab and D. Tuyttens. A Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System. In Proc. of IEEE IPDPS, pages 1203-1212, Phoenix, Arizona, USA, 2014.

  29. Y. Kessaci, N. Melab and E-G Talbi. Multi-level and Multi-objective Survey on Cloud Scheduling. In Proc. of IEEE IPDPS Workshops, pages 480-488, Phoenix, Arizona, USA, 2014.

  30. R. Leroy, M. Mezmaz, N. Melab and D. Tuyttens. Work Stealing Strategies For Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System. In Proc. of ACM SIGPLAN PPoPP/PMAM, Orlando, Florida, 2014.

  31. A. Bendjoudi, M. Chekini, M. Gharbi, M. Mehdi, K. Benatchba, F. Sitayeb-Benbouzid and N. Melab. Parallel B&B Algorithm for Hybrid Multi-core/GPU Architectures. In Proc. of HPCC/EUC, pages 914-921, 2013.

  32. Y. Kessaci, N. Melab, E-G. Talbi. A pareto-based genetic algorithm for optimized assignment of VM requests on a cloud brokering environment. In Proc. of IEEE Congress on Evolutionary Computation, pages 2496-2503, 2013.

  33. F. Legillon, N. Melab, D. Renard, E-G. Talbi. Cost minimization of service deployment in a multi-cloud environment. In Proc. of IEEE Congress on Evolutionary Computation, pages 2580-2587, 2013.

  34. N. Melab, T-V. Luong, K. Boufaras, E-G. Talbi. ParadisEO-MO-GPU: a framework for parallel GPUbased local search metaheuristics. In Proc. of ACM GECCO, pages 1189-1196, 2013. (Nominated for the Best Paper Award).

  35. I. Chakroun and N. Melab. Operator-Level GPU-Accelerated Branch and Bound Algorithms. In Proc. of ICCS, pages 280-289, 2013.

  36. F. Legillon, N. Melab, D. Renard, E-G. Talbi. Cost Minimization of Service Deployment in a Public Cloud Environment. In Proc. of IEEE IPDPS/NIDISC Workshop, pages 491-498, 2013.

  37. N. Melab, I. Chakroun, M. Mezmaz and D.Tuyttens. A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. In Proc. of 14th IEEE Intl. Conf. on Cluster Computing (Cluster'12), China, Beijin, Sept. 24-28, 2012.

  38. T-T. Vu, B. Derbel, A. Assim, A. Bendjoudi and N. Melab. Overlay-Centric Load Balancing: Applications to UTS and B&B. In Proc. of 14th IEEE Intl. Conf. on Cluster Computing (Cluster'12), China, Beijin, Sept. 24-28, 2012.

  39. Y. Kessaci, N. Melab and E-G. Talbi. An Energy-aware Multi-start Local Search Heuristic for Scheduling VMs on the OpenNebula Cloud Distribution. In Proc. of Intl. Conf. on High Performance Computing & Simulation (HPCS), Spain, Madrid, July 2-6, 2012.

  40. I. Chakroun and N. Melab. An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem. In Proc. of 14th IEEE Intl. Conf. on High Performance Computing and Communications (HPCC'12), UK, Liverpool, June 24-27, 2012.

  41. T-V. Luong, E-D. Taillard, N. Melab, E-G. Talbi. Parallelization Strategies for Hybrid Metaheuristics Using a Single GPU and Multi-core Resources. In Springer LNCS Proc. PPSN (2), pp. 368-377, 2012.

  42. M. Mehdi, J-C. Charr, N. Melab, E-G.Talbi and P. Bouvry. A New Cooperative Hybrid Approach Combining Genetic Algorithms and Branch-and-Bound for Solving Permutaion-based Problems. In Proc. of ACM Genetic and Evolutionary Computation Conf. (GECCO’2011), Dublin, Ireland, July 12-16, 2011 (Best Paper Award).

  43. Y. Kessaci, N. Melab and E-G. Talbi. A Pareto GA for Green Scheduling of HPC Applications on Distributed Cloud. In Proc. of OPTIM/HPCS’2011, Istanbul, July 4-8, 2011.

  44. N. Melab, T-V. Luong, K. Boufaras and E-G. Talbi. Towards ParadisEO-MO-GPU: a Framework for GPU-based Local Search Metaheuristics. Proc. of IWANN’2011, LNCS 6691, Part I, Springer Verlag, 2011.

  45. M. Djamaï, B. Derbel and N. Melab. Distributed B&B: A Pure Peer-to-Peer Approach. In Proc. of IEEE IPDPS’2011, Woks. on Large-Scale Parallel Processing (LSPP), May 16-20, Anchorage (Alaska), 2011.

  46. A. Bendjoudi, N. Melab and E-G. Talbi. Fault-Tolerant Mechanism for Hierarchical Branch and Bound Algorithm. In Proc. of IEEE IPDPS’2011, Woks. on Large-Scale Parallel Processing (LSPP), May 16-20, Anchorage (Alaska), 2011.

  47. T-V. Luong, N. Melab, E-G. Talbi. GPU-based Approaches for Multiobjective Local Search Algorithms. A Case Study: the Flowshop Scheduling Problem. In LNCS proc. of 11th European Conf. on Evolutionary Computation in Combinatorial Optimization (EvoCOP), Torino, Italy, 2011.

  48. T-V. Luong, N. Melab, E-G. Talbi. GPU-based Multi-start Local Search Algorithms. In LNCS Proc. of Learning and Intelligent Optimization (LION’5), Rome, Italy, Jan. 17-21 2011.

  49. T.V. Luong, N. Melab, E.-G. Talbi. GPU-based Island Model for Evolutionary Algorithms. ACM Genetic and Evolutionary Computation Conference (ACM GECCO’10), Portland, USA, 2010.

  50. M. Mehdi, N. Melab, E-G.Talbi and P. Bouvry. Interval-based Initialization Method for Permutationbased Problems. IEEE Congress on Evolutionary Computation (IEEE CEC’10), Barcelona, Spain, 2010.

  51. M. Mezmaz, Y.C. Lee, N. Melab, E-G. Talbi and A. Y. Zomaya. A Bi-objective Hybrid Genetic Algorithm to Minimize Energy Consumption and Makespan for Precedence-constrained Applications Using Dynamic Voltage Scaling. IEEE Congress on Evolutionary Computation (IEEE CEC’10), Barcelona, Spain, 2010.

  52. T.V. Luong, N. Melab, E.-G. Talbi. GPU-based Parallel Hybrid Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (IEEE CEC’10), Barcelona, Spain, 2010.

  53. T.V. Luong, L. Loukil, N. Melab and E.-G. Talbi. A GPU-based Iterated Tabu Search for Solving the Quadratic 3-dimensional Assignment Problem. In Proc. of ACS/IEEE AICCSA, Workshop on Parallel Optimization in Emerging Computing Environments (POECE), Hammamet, Tunisia, 2010.

  54. T-V. Luong, N. Melab, E-G. Talbi. Large Neighborhood Local Search Optimization on Graphics Processing Units. In Proc. of 23rd IEEE International Parallel & Distributed Processing Symposium (IPDPS), LSPP Workshop, Atlanta, USA, 2010.

  55. T-V. Luong, N. Melab and E-G. Talbi. Local Search Algorithms on Graphics Processing Units. A Case Study: the Permutation Perceptron Problem. In LNCS Proc. of 10th European Conf. on Evolutionary Computation in Combinatorial Optimisation (EvoCOP’2010), Istanbul, Turkey, 2010. (Nominated for the Best Paper Award).

  56. M. Mehdi, N. Melab, E-G.Talbi and P. Bouvry. Interval Island Model Initialization for Permutationbased Problems. Poster in ACM Genetic and Evolutionary Computation Conf. (GECCO’2009), Montreal, Canada, July 2009.

  57. L. Loukil, M. Mehdi, N. Melab, E-G Talbi, and P. Bouvry. A Parallel Hybrid Genetic Algorithm - Simulated Annealing for Solving Q3AP on Computational Grid. In Proc. of the 22th IEEE Intl. Parallel and Distributed Processing Symposium (IPDPS’2009), NIDISC Workshop, Roma, Italy, 2009.

  58. J. Tavares, A-A. Tantar, N. Melab and E-G. Talbi. The Influence of Mutation on Protein-Ligand Docking Optimization: a Locality Analysis. In Proc. of the 10th Intl. Conf. on Parallel Problem Solving from Nature (PPSN 2008), LNCS 5199, Springer Verlag, Pages 589-598, 2008.

  59. M. Mehdi, M. Mezmaz, N. Melab, E-G.Talbi and P. Bouvry. An Efficient Hybrid P2P Approach for Non redundant Tree Exploration in B&B Algorithms. In IEEE Proc. of Intl. Workshop on P2P, Parallel, Grid and Internet Computing (In conj. with CISIS'08), Pages 354-359, Barcelona, Spain, March 2008.

  60. J. Tavares, A-A. Tantar, N. Melab and E-G. Talbi. The Impact of Local Search on Protein-Ligand Docking Optimization. In IEEE Proc. of the 8th Intl. Conf. on Pon Hybrid Intelligent Systems (HIS 2008), Pages 53-58, Barcelona, Spain, Sept. 10-12, 2008.

  61. B. Parent, A. Tantar, N. Melab, E-G. Talbi, D. Horvath. Grid-based evolutionary strategies applied to the conformational sampling problem. In Proc. of IEEE Congress on Evolutionary Computation, 2007 (CEC2007), pages 291-296, Singapore, 25-28 Sept. 2007.

  62. I. Zunino, N. Melab and E-G. Talbi. A Grid-enabled Framework for Exact Optimization Algorithms. In Proc. of 2007 High Performance Computing and Simulation Conference (HPC&S), Prague, Czech Republic, June 4-6, 2007.

  63. A. Bendjoudi, N. Melab and E-G. Talbi. Parallel Brand-and-Bound Algorithm on a Peer-to-Peer System. In Proc. of 7th IEEE Intl. Workshop on Global and Peer-to-Peer Computing (In conj. with IEEE CCGRID’2007), Rio de Janeiro, Brazil, May 14-17, 2007.

  64. M. Mezmaz, N. Melab and E-G. Talbi. A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems. In Proc. of 21th IEEE Intl. Parallel and Distributed Processing Symp. (IPDPS), Long Beach, California, March 26th-30th, 2007. (Selection rate: 26%).

  65. A-A. Tantar, N. Melab and E-G. Talbi. A Comparative Study of Parallel Metaheuristics for Protein Structure Prediction on the Computational Grid. In Proc. of the 10th IEEE Intl. Workshop on Nature Inspired Distributed Computing (NIDISC’07 - in conjunction with IPDPS’2007), Long Beach, California, March 26th, 2007.

  66. M. Mezmaz, N. Melab and E-G. Talbi. A Grid-based Parallel Approach of the Multi-Objective Branch and Bound. In Proc. of the 15th IEEE Euromicro Conf. on Parallel, Distributed and Network-based Processing, Naples, Italy, Feb. 7-9, 2007.

  67. M. Mehdi, M. Mezmaz, N. Melab and E-G. Talbi. Toward a Napster-like P2P B&B Algorithm and Island Models for Parallel Multi-objective Optimization on the Computational Grid. In Proc. of the 2007 High Performance Computing and Simulation Conference (HPC&S 2007), Prague, Czech Republic. June 4-6, 2007.

  68. M. Mezmaz, N. Melab and E-G. Talbi. Using the Multi-Start and Island Models for Parallel Multiobjective Optimization on the Computational Grid. In Proc. of IEEE Intl. Workshop on Biologically inspired Optimization Methods for Parallel and Distributed Architectures (in conjunction with the 2nd IEEE Intl. Conf. on e-Science and Grid Computing), Amsterdam, The Netherlands, Dec. 4-6, 2006.

  69. N. Melab, M. Mezmaz, E-G. Talbi and B. Wei. Parallel Peer-to-Peer Multi-objective Optimization using the Multi-Start Model. In Proc. of the IFIP Intl. Conf. on Network and Parallel Computing (NPC’2006), Pages 20-26, Tokyo 2-4 Oct. 2006.

  70. A. Tantar, N. Melab, E-G. Talbi and B. Toursel. Solving the Protein Folding Problem with a Bicriterion Genetic Algorithm on the Grid. 4th IEEE Intl. Workshop on Biomedical Computations on the Grid (BioGrid'06 – In conj. with IEEE CCGRID’06), Pages 43-, Singapore, May 16-19, 2006.

  71. S. Cahon, E-G. Talbi and N. Melab. A Parallel and Hybrid Multi-Objective Evolutionary Algorithm applied to the Design of Cellular Networks. In Proc. of MELECON’2006, Benalmádena (Málaga), Spain, May 16-19, 2006.

  72. M. Mezmaz, N. Melab, E-G. Talbi. A Grid Exact Hybrid Approach for Solving Multi-Objective Problems. In Proc. of 9th IEEE Intl. Workshop on Nature Inspired Distributed Computing (NIDISC’06 - in conjunction with IPDPS’2006), Rhodes Island, Greece, Apr. 25-29, 2006.

  73. S. Cahon, N. Melab, E-G Talbi. An Enabling Framework for Parallel Optimization on the Computational Grid. In the Proc. of the 5th IEEE Intl. Symposium on Cluster Computing and the Grid (CCGRID’2005), Cardiff, UK, 9-12 May, 2005.

  74. J-M. Pierson, L. Brunie, C. Dhaenens, A. Hameurlain, N. Melab, M. Miquel, F. Morvan, E-G. Talbi and A. Tchounikine. Grid for Geno-Medicine: A Glimpse on the GGM Project. In the Proc. of the 3rd IEEE Intl. Workshop on Biomedical Computations on the Grid (BioGrid’2005 – in conjunction with CCGRID’2005), Cardiff, UK, 9-12 May, 2005.

  75. N. Melab, M. Mezmaz and E-G. Talbi. Parallel Hybrid Multi-objective Island Model in Peer-to-Peer Environment. In the Proc. of the 8th IEEE Intl. Workshop on Nature Inspired Distributed Computing (NIDISC’05 - in conjunction with IPDPS’2005), Denver, Colorado, Apr. 4-8, 2005.

  76. F. Cappello, F. Desprez, M. Dayde, E. Jeannot, Y. Jégou, S. Lanteri, N. Melab, R. Namyst, P. Primet, O. Richard, E. Caron, J. Leduc, G. Mornet. Grid'5000: a large scale, reconfigurable, controlable and monitorable Grid platform. In 6th IEEE/ACM Intl .Workshop on Grid Computing - GRID 2005, Seattle, Washington, USA, Nov. 13-14, 2005.

  77. M. Mezmaz, N. Melab and E-G. Talbi. Towards a Coordination Model for Parallel Cooperative P2P Multi-objective Optimization. In Springer Verlag LNCS 3470, Proc. of European Grid Conf. (EGC’2005), pages 305-314, Amsterdam, The Netherlands, 14-16 Feb. 2005 (taux de sélection : 39%).

  78. S. Cahon, N. Melab, E-G Talbi and M. Schoenauer. ParadisEO-based Design of Parallel and Distributed Evolutionary Algorithms. In Proc. of Evolutionary Algorithms EA'03, Marseille, France, October 2003. Revised Selected Paper for Springer Verlag LNCS 2936, pages 216-228, 2004.

  79. L. Brunie, M. Miquel, J-M. Pierson, A. Tchounikine, C. Dhaenens, N. Melab, E-G. Talbi, A. Hameurlain, F. Morvan. Information grids: managing and mining semantic data in a grid infrastructure; open issues and application to geno-medical data. In Proc. of IEEE DEXA'03, pages 509-518, Czech Republic, Prague, Sept. 2003.

  80. S. Cahon, E-G. Talbi and N. Melab. ParaDisEO: a Framework for Parallel and Distributed Biologically Inspired Metaheuristics. In Proc. (CDROM, 9 pages) of IEEE NIDISC'03 (In conjunction with IEEE IPDPS'03), Nice, France, April 2003.

  81. N. Melab, S. Cahon, E-G. Talbi and L. Duponchel. Parallel GA-based Wrapper Feature Selection for Spectroscopic Data Mining. IEEE Intl. Workshop on Bio-Inspired Solutions to Parallel Processing Problems (BioSP3), Fort Lauderdale, Florida, USA, Apr. 15-19, 2002.

  82. N. Melab, L. Deruelle, M. Bouneffa and H. Basson. Towards a Changeability Assessment of Distributed Multi-language Software Code. 7th IEEE Intl. Workshop on Empirical Studies of Software Maintenance (WESS'01), Florence, Italy, Nov. 9, 2001.

  83. L. Deruelle, M. Bouneffa, N. Melab and H. Basson. Analysis and Manipulation of Distributed MultiLanguage Software Code. In Proc. of the IEEE Intl. Workshop on Source Code Analysis and Manipulation (IEEE-SCAM'2001), Florence, Italy, Nov 2001.

  84. L. Deruelle, M. Bouneffa, N. Melab and H. Basson. A Change Propagation Model and Platform for MultiDatabase Applications. In Proc of the IEEE Intl. Conf. on Software Maintenance (IEEE-ICSM'2001), Florence, Italy, Nov 2001.

  85. L. Deruelle, N. Melab, M. Bouneffa and H. Basson. Web Site Evolution based on Change Impact Analysis. In Proc. of ISE'2001, Las Vegas, USA, June 2001.

  86. N. Melab and E-G.Talbi. A Parallel Genetic Algorithm for Rule Mining. IEEE Intl. Workshop on BioInspired Solutions to Parallel Processing Problems (BioSP3), San Francisco, USA, Apr. 23, 2001.

  87. N. Melab, M. Bouneffa, L. Deruelle and H. Basson. Change Propagation in Multi-language Distributed Software. Proc. of PDCS'2000, pages 472-477, Las Vegas, Nevada, USA, Aug. 8-10, 2000.

  88. N. Melab and L. Deruelle. Toward a Model and a Platform for Profiling of Multi-language Distributed Object Software. Proc. of PDCS'2000, pages 275-280, Las Vegas, Nevada, USA, Aug. 8-10, 2000.

  89. N. Melab, L. Deruelle, M. Bouneffa and H. Basson. Instrumentation-based Profiling Techniques. Proc. of ISCA-CATA'2000, New Orleans, Louisiana, USA, Mar.29-31, 2000.

  90. N. Melab, H. Basson, M. Bouneffa, and L. Deruelle. Performance of Object-oriented Code: Profiling and Instrumentation. In the Proc. of the IEEE Intl. Conf. on Software Maintenance (IEEE-ICSM'99), Oxford, UK., Aug. 30 - Sep. 3, 1999.

  91. N. Melab, E-G. Talbi and S. Petiton. A Parallel Adaptive version of the Block-based Gauss-Jordan Algorithm. Proc. of IEEE-IPPS/SPDP99 (13th Intl. Parallel Processing Symp. & 10th Symp. on Parallel and Distributed Processing), pages 350-355, San Juan, Puerto Rico, Apr. 12-16, 1999.

  92. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. Increasing the Granularity of Parallelism in the P3 Parallel Evaluation Scheme of Functional Languages. Proc. of the 10th ISCA Intl. Conf. on Parallel and Distributed Computing Systems, PDCS'97, New Orleans, Louisiana, USA, pages 578-583, Oct. 1-3, 1997.

  93. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. A Periodic Adaptive Strategy for Monitoring Distributed Applications: Description and Analysis. Proc. of the 11th Intl. Symposium on High Performance Computing Systems, HPCS'97, Winnipeg, Manitoba, Canada, pages 645-654, July. 10-12, 1997.

  94. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. Adaptive Load Balancing and Multithreading. Proc. of the 9th ISCA Intl. Conf. on Parallel and Distributed Computing Systems, PDCS'96, Dijon, FRANCE, pages 343-348, Volume 1, Sep. 25-27, 1996. (Best Paper Award, from IEEE France)

  95. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. Adaptive load balancing of irregular applications. A case study: IDA* applied to the 15-puzzle problem. Springer Verlag, LNCS 1117, Proc. of the Third Intl. Workshop, IRREGULAR'96, pages 327-338, Santa Barbara, California, USA, Aug. 19-21, 1996.

  96. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. An adaptive Load Information Collection Policy. Proc. of the Int. Conf. on Parallel and Distributed Processing Techniques and Applications (PDPTA'96), Sunnyvale, California, USA, pages 649-658, Aug. 9-11, 1996.

  97. N. Melab, N. Devesa, M.P. Lecouffe, B. Toursel. An Adaptive Load Balancing Algorithm with a Multithreaded Implementation. Proc. of the 11th Int. Conf. on Systems Engineering (ICSE'96), Las Vegas, Nevada, USA, pages 97-102, Jul. 9-11, 1996.

Book chapters

  1. N. Melab, J. Gmys, M. Mezmaz and D. Tuyttens. Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors, Studies in Computational Intelligence book series (SCI, Vol. 833), Springer, pages 275-291, 2020.

  2. L. Brevault, J. Pelamatti, A. Hebbal, M. Balesdent, E-G. Talbi and N. Melab. MDO Related Issues: Multi-Objective and Mixed Continuous/Discrete Optimization. In Aerospace System Analysis and Optimization in Uncertainty. Springer Optimization and Its Applications, Vol 156, pp 321-358, Springer, Cham. https://doi.org/10.1007/978-3-030-39126-3_9, 2020.

  3. I. Chakroun and N. Melab. GPU-accelerated Tree-based Exact Optimization Methods. Chapter in book Designing scientific applications on GPUs. CRC Press, Taylor & Francis Group, 2013.

  4. L. Loukil, M. Mehdi, A. Bendjoudi and N. Melab. Parallel GPU-Accelerated Metaheuristics. Book chapter in Designing scientific applications on GPUs, CRC Press, Taylor & Francis Group, 2013.

  5. M. Mezmaz, N. Melab and D. Tuyttens. A multithreaded branch-and-bound algorithm for solving the flow-shop problem on a multicore environment. Large Scale Network-Centric Distributed Systems, Chapter 3, Pages: 53-70. 2013.

  6. M. Djamai, B. Derbel and N. Melab. Large sclae P2P-Inspired Problem solving: a formal and experimental study. Large Scale Network-Centric Distributed Systems, Chapter 4, pages, 73-102. 2013.

  7. Y. Kessaci, M. Mezmaz, N. Melab and E-G. Talbi. Parallel Evolutionary Algorithms for Energy Aware Scheduling. Chapter in Intelligent Decision System in Large-Scale Distributed Environments. ISBN 978-3642-21270-3, Vol. 362, 2011.

  8. A-A. Tantar, N. Melab and E-G. Talbi. An Analysis of Dynamic Mutation Operators for Conformational Sampling. Chapter in Biologically-Inspired Optimisation Methods, Springer Berlin / Heidelberg, Vol. 210/2009, Pages 291-323, 2009, DOI: 10.1007/978-3-642-01262-4_11.

  9. A-A. Tantar, N. Melab and E-G. Talbi. Molecular Docking Using Grid Computing. Chapter 8 in Grid Computing for Bioinformatics and Computational Biology, John Wiley & Sons, Pages 179-198, 2008.

  10. A-A. Tantar, N. Melab and E-G. Talbi. Conformational sampling and docking on Grids. Chapter 8 in Grid Computing for Bioinformatics and computational Biology, Wiley Series in Bioinformatics, 2008.

  11. A. Bendjoudi, S. Guerdah, M. Mansoura, N. Melab, and E-G. Talbi. P2P B&B and GA for the Flow-Shop Scheduling Problem. Chapter in Metaheuristics for Scheduling in Distributed Computing Environments, Studies in Computational Intelligence, Springer, Vol. 146/2008, Pages 301-321, ISBN 978-3-540-69260-7, DOI: 10.1007/978-3-540-69277-5_11.

  12. N. Melab, E-G. Talbi, and S. Cahon. On Parallel Evolutionary Algorithms on the Computational Grid. Chapter in Parallel Evolutionary Computations, Studies in Computational Intelligence, Springer, Volume 22, DOI 10.1007/3-540-32839-4_6, URL http://dx.doi.org/10.1007/3-540-32839-4_6, Pages 117-132, Jan 2006.

  13. N. Melab, E-G. Talbi, S. Cahon, E. Alba and G. Luque. Parallel Metaheuristics: Algorithms and Frameworks. Chapter 6 in Parallel Combinatorial Optimization, Wiley Series on Parallel and Distributed Computing, ISBN: 0-471-72101-8, Pages 149-161, 2006.

  14. C. Dhaenens, J. Lemesre, N. Melab, M. Mezmaz and E-G. Talbi. Parallel exact methods for multiobjective combinatorial optimization. Chapter 8 in Parallel Combinatorial Optimization, Wiley Series on Parallel and Distributed Computing, ISBN: 0-471-72101-8, Pages 187-210, 2006.

  15. N. Melab, E-G. Talbi and S. Cahon. Frameworks for the Design of Reusable Parallel and Distributed Metaheuristics. Chapter 35, In Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC, Taylor & Francis, pages 639-647, 2006.

  16. N. Melab, E-G. Talbi, M. Mezmaz and B. Wei. Parallel Hybrid Multi-objective Meta-heuristics on P2P Systems. Chapter 36, In Handbook of Bioinspired Algorithms and Applications, Chapman & Hall/CRC, Taylor & Francis, pages 649-663, 2006.

  17. S. Cahon, N. Melab et E-G. Talbi. Sélection d’attributs en fouille de données sur grilles. Dans Chapitre 6, RNTI E-5 Extraction des connaissances : Etat et perspectives, Editions Cépaduès, ISBN 2-85428-707.X, Nov. 2005.

  18. E-G. Talbi, E. Alba, N. Melab and G. Luque. Metaheuristics and Parallelism. Chapter 4, In Wiley Book on Parallel Metaheuristics: A New Class of Algorithms, ISBN 0-471-67806-6, pages 79-103, 2005.

  19. L. Deruelle, M. Bouneffa, N. Melab and H. Basson. An expert system-based change propagation process for web sites maintenance. Ed. Hermes, ISI-NIS (Réingénierie des données et des documents sur le web), Vol. 6, No. 1, pages 123-148, 2001.