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Mezmaz Mohand

Université de Mons - UMONS > Faculté Polytechnique > Service de Mathématique et Recherche opérationnelle

Main Referenced Co-authors
TUYTTENS, Daniel  (48)
Melab, Nouredine (34)
Fei, Hongying  (11)
Gmys, Jan  (10)
Jalwan, Jad  (8)
Main Referenced Keywords
Bayesian Optimization (1); Efficient Global Optimization (1); Evolutionary Algorithm (1); Massively Parallel Computing (1); Simulation (1);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (15)
Main Referenced Disciplines
Mathematics (52)
Electrical & electronics engineering (8)
Computer science (5)
Mechanical engineering (3)

Publications (total 55)

The most downloaded
42 downloads
Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (19 February 2020). Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm [Paper presentation]. International Conference on Optimization and Learning OLA'2020 17-19 February, Cadiz, Spain. https://hdl.handle.net/20.500.12907/9658

The most cited

292 citations (Scopus®)

Mezmaz, M., Melab, N., Kessaci, Y., Lee, Y. C., Talbi, E.-G., Zomaya, A. Y., & Tuyttens, D. (01 November 2011). A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. Journal of Parallel and Distributed Computing, 71 (11), 1497-1508. https://hdl.handle.net/20.500.12907/30061

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (2021). Evolution Control Ensemble Models for Surrogate-Assisted Evolutionary Algorithms. In HPCS proceedings. IEEE.
Peer reviewed

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (22 July 2020). Evolution Control for parallel ANN-assisted simulation-based optimization: Application to Tuberculosis Transmission Control. Future Generation Computer Systems, 113 (December 2020), 454-467. doi:10.1016/j.future.2020.07.005
Peer Reviewed verified by ORBi

Briffoteaux, G., Gobert, M., Ragonnet, R., Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2020). Parallel Surrogate-assisted Optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. Swarm and Evolutionary Computation.
Peer Reviewed verified by ORBi

Briffoteaux, G., Ragonnet, R., Mezmaz, M., Melab, N., & Tuyttens, D. (19 February 2020). Towards Dynamic Selection of Evolution Controls in Parallel Bayesian Neural Network-assisted Genetic Algorithm [Paper presentation]. International Conference on Optimization and Learning OLA'2020 17-19 February, Cadiz, Spain.
Peer reviewed

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2020). A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem. European Journal of Operational Research.
Peer Reviewed verified by ORBi

Melab, N., Gmys, J., Mezmaz, M., & Tuyttens, D. (16 June 2019). Many-core Branch-and-Bound for GPU accelerators and MIC coprocessors. Studies in Computational Intelligence, 833, 275-291.
Peer reviewed

Benmouna, Y., Mezmaz, M., Mahmoudi, S., & Chikh, M. A. (2019). Parallel cycle-based branch-and-bound method for Bayesian network learning. Pattern Analysis and Applications. doi:10.1007/s10044-019-00815-1
Peer Reviewed verified by ORBi

Briffoteaux, G., Melab, N., Mezmaz, M., & Tuyttens, D. (2018). An adaptive evolution control based on confident regions for surrogate-assisted optimization. In 2018 International Conference on High Performance Computing & Simulation, HPCS 2018, Orleans, France, July 16-20, 2018. IEEE. doi:10.1109/HPCS.2018.00130
Peer reviewed

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2018). Exactly solving permutation-based optimization problems on heterogeneous CPU/GPU clusters [Paper presentation]. OLA International Workshop on Optimization and Learning: Challenges and Applications, Alicante, Spain.

Melab, N., & Mezmaz, M. (10 May 2017). Multi and many-core computing for parallel metaheuristics [letter to the editor]. Concurrency and Computation: Practice and Experience, 29 (9). doi:10.1002/cpe.4116

Melab, N., Gmys, J., Mezmaz, M., & Tuyttens, D. (03 January 2017). Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems. Future Generation Computer Systems, 82, 472-481.
Peer Reviewed verified by ORBi

Vaillant, G., Mezmaz, M., Tuyttens, D., & Melab, N. (2016). Vectorization of local search for solving flow-shop scheduling problem on Xeon PhiTM MIC co-processors [Paper presentation]. International Conference on High Performance Computing & Simulation, Innsbruck, Austria.

Kochetov, Y., Alekseeva, E., & Mezmaz, M. (20 October 2016). Local search heuristic for the discrete leader-follower problem with multiple follower objectives. AIP Conference Proceedings, 1776. doi:10.1063/1.4965328
Peer Reviewed verified by ORBi

Tuyttens, D., Mezmaz, M., Vaillant, G., & Melab, N. (05 July 2016). Exploring GRASP-based Metaheuristics to solve the Traveling Salesman Problem [Poster presentation]. 28th European Conference on Operational Research, Poznan, Poland.

Tuyttens, D., Mezmaz, M., Vaillant, G., & Melab, N. (2016). Exploring GRASP-based Metaheuristics to solve the Traveling Salesman Problem [Paper presentation]. 28th European Conference on Operational Research, Poznan, Poland.

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (10 May 2016). IVM-Based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. Concurrency and Computation: Practice and Experience, 29 (9). doi:10.1002/cpe.4019
Peer Reviewed verified by ORBi

Alekseeva, E., Mezmaz, M., Tuyttens, D., & Melab, N. (10 May 2016). Parallel multi-core hyper-heuristic GRASP to solve permutation flow-shop problem. Concurrency and Computation: Practice and Experience, 29 (9). doi:10.1002/cpe.3835
Peer Reviewed verified by ORBi

Alekseeva, E., Bagein, M., Caucheteur, C., Kouroussis, G., Lobry, J., Manneback, P., Mezmaz, M., Moeyaert, V., Tuyttens, D., & Vanherck, T. (2016). INOGRAMS : un portefeuille de projets en vue d'un système global de gestion du rail.

Tuyttens, D., Mezmaz, M., & Alekseeva, E. (2016). Identification des paramètres du train. Polytech News, (53), 9.

Tuyttens, D., Mezmaz, M., & Godart, J.-M. (2016). GREENRAIL 2 : Optimisation multicritère des horaires de trains. Polytech News, (53), 7.

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (27 January 2016). A GPU-based Branch-and Bound algorithm using Integer-Vector-Matrix data structure. Parallel Computing, 59, 119-139. doi:10.1016/j.parco.2016.01.008
Peer Reviewed verified by ORBi

Gmys, J., Leroy, R., Mezmaz, M., Melab, N., & Tuyttens, D. (21 January 2016). Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms. Concurrency and Computation: Practice and Experience, 28 (18), 4463-4484. doi:10.1002/cpe.3771
Peer Reviewed verified by ORBi

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (20 January 2016). IVM-based Work Stealing for Parallel Branch-and-Bound on GPU. Lecture Notes in Computer Science, 9573, 548-558.
Peer reviewed

Melab, N., Leroy, R., Mezmaz, M., & Tuyttens, D. (2015). Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor [Paper presentation]. International Conference on High Performance Computing & Simulation, Amsterdam, Netherlands.

Gmys, J., Mezmaz, M., Melab, N., & Tuyttens, D. (2015). Towards a GPU-based branch-and-bound algorithm using an integer-vector-matrix data structure [Paper presentation]. ORBEL 29 - Belgian Conference on Operational Research, Antwerp, Belgium.

Mezmaz, M., Mehdi, M., Bouvry, P., Melab, N., Talbi, E.-G., & Tuyttens, D. (01 October 2014). Solving the three dimensional quadratic assignment problem on a computational grid. Cluster Computing, 17 (2), 205-217.
Peer Reviewed verified by ORBi

Mezmaz, M., Leroy, R., Melab, N., & Tuyttens, D. (2014). A multi-core parallel branch-and-bound algorithm using factorial number system. 28th IEEE International Parallel and Distributed Processing Symposium, 1203-1212.
Peer reviewed

Leroy, R., Mezmaz, M., Melab, N., & Tuyttens, D. (2014). Work stealing strategies for multi-core parallel branch-and-bound algorithm using factorial number system [Paper presentation]. PMAM 2014 - International Workshop on Programming Models and Applications for Multicores and Manycores, Orlando, United States - Florida.

Mezmaz, M., Vandaele, A., Tuyttens, D., Itani, S., & Melab, N. (2014). Towards a Lightning Inspired Meta-Heuristic [Paper presentation]. ORBEL 28, UMONS, Mons, Belgium.

Leroy, R., Mezmaz, M., Melab, N., & Tuyttens, D. (2014). Using factorial number system to solve permutation optimization problems [Paper presentation]. ORBEL 28, UMONS, Mons, Belgium.

Tuyttens, D., Godart, J.-M., Mezmaz, M., & Van Sevenant, M. (09 December 2013). Logistique ferroviaire : Optimiser la consommation électrique (Projets GreenRail I et II) [Poster presentation]. Lab'Insight, UMONS, FPMs, Belgium.

Tuyttens, D., Mezmaz, M., Godart, J.-M., & Van Sevenant, M. (12 March 2013). GreenRail : Economies d'énergie dans le transport ferroviaire [Poster presentation]. Matinée des chercheurs (MDC 2013), Mons, Belgium.

Chakroun, I., Mezmaz, M., Melab, N., & Bendjoudi, A. (01 January 2013). Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm. Concurrency and Computation: Practice and Experience, 25 (8), 1121-1136.
Peer Reviewed verified by ORBi

Chakroun, I., Melab, N., Mezmaz, M., & Tuyttens, D. (01 January 2013). Combining multi-core and GPU computing for solving combinatorial optimization problems. Journal of Parallel and Distributed Computing, 73 (12), 1563-1577.
Peer Reviewed verified by ORBi

Tuyttens, D., Fei, H., Mezmaz, M., & Jalwan, J. (01 January 2013). Simulation-based genetic algorithm towards an energy-efficient railway traffic control. Mathematical Problems in Engineering, 2013, 1-12.
Peer Reviewed verified by ORBi

Melab, N., Chakroun, I., Mezmaz, M., & Tuyttens, D. (2012). A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem [Paper presentation]. IEEE International Conference on Cluster Computing, Beijing, China.

Mezmaz, M., Melab, N., & Tuyttens, D. (2012). A multi-threaded branch-and-bound algorithm for solving the flow-shop problem on a multi-core environment. In Large Scale Network-centric Computing Systems (pp. 53-70). Wiley-IEEE Computer Society Press.

Tuyttens, D., Fei, H., Mezmaz, M., & Jalwan, J. (30 November 2011). GREENRAIL : un rail plus vert ! Polytech News, 46.

Mezmaz, M., & Tuyttens, D. (30 November 2011). Ordonnancement moins énergivore de tâches dans les systèmes de calcul en nuage. Polytech News, 46.

Mezmaz, M., Melab, N., Kessaci, Y., Lee, Y. C., Talbi, E.-G., Zomaya, A. Y., & Tuyttens, D. (01 November 2011). A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. Journal of Parallel and Distributed Computing, 71 (11), 1497-1508.
Peer Reviewed verified by ORBi

Kessaci, Y., Mezmaz, M., Melab, N., Talbi, E.-G., & Tuyttens, D. (23 June 2011). Parallel Evolutionary Algorithms for Energy Aware Scheduling. Studies in Computational Intelligence, 362, 75-100.
Peer reviewed

Tuyttens, D., Mezmaz, M., Fei, H., & Jalwan, J. (22 March 2011). Projet GreenRail [Poster presentation]. 6ème édition de la Matinée des Chercheurs (MDC 2011), Mons, Belgium.

Mezmaz, M., Tuyttens, D., Jalwan, J., & Fei, H. (22 March 2011). GREENRAIL : Optimisation Energétique Ferroviaire [Paper presentation]. Troisième journée scientifique du Pôle Hainuyer, Ath, Belgium.

Fei, H., Tuyttens, D., Jalwan, J., & Mezmaz, M. (01 March 2011). Greenrail Energy Manager: Une Gestion Optimale du Trafic Ferroviaire. Recherche Opérationnelle et Transport Ferroviaire [Paper presentation]. 12e Congrès annuel de la Société française de Recherche Opérationnelle et d'Aide à la Décision, Saint-Etienne, France.

Fei, H., Tuyttens, D., Mezmaz, M., & Jalwan, J. (2011). An energy-conscious greedy heuristic to solve the train control problem [Paper presentation]. ORBEL 25, Gand, Belgium.

Mezmaz, M., Tuyttens, D., Fei, H., & Jalwan, J. (30 October 2010). Towards the State-of-the-Art of the Use of Genetic Algorithms to Solve Energy-Conscious Train Control Problem [Paper presentation]. International Conference on Metaheuristics and Nature Inspired Computing, Djerba Island, Tunisia.

Mezmaz, M., Kessaci, Y., Lee, Y. C., Melab, N., Talbi, E.-G., Zomaya, A. Y., & Tuyttens, D. (28 October 2010). A Parallel Bi-objective Hybrid Genetic Algorithm to Minimize Energy Consumption and Makespan Using Dynamic Voltage Scaling [Paper presentation]. International Conference on Metaheuristics and Nature Inspired Computing, Djerba Island, Tunisia.

Mezmaz, M., Kessaci, Y., Lee, Y. C., Melab, N., Talbi, E.-G., Zomaya, A. Y., & Tuyttens, D. (2010). A Parallel Island-based Hybrid Genetic Algorithm for Precedence-constrained Applications to Minimize Energy Consumption and Makespan. Proceedings - IEEE/ACM International Workshop on Grid Computing 2010, Article number 5697985, Pages 274-281 2010 11th IEEE/ACM International Conference on Grid Computing, 274-281.
Peer reviewed

Fei, H., Tuyttens, D., Mezmaz, M., & Jalwan, J. (01 September 2010). The state-of-art about energy-efficient railway traffic control [Paper presentation]. International Conference Operations Research, Munich, Germany.

Mezmaz, M., Lee, Y. C., Melab, N., Talbi, E.-G., & Zomaya, A. Y. (2010). A Bi-objective Hybrid Genetic Algorithm to Minimize Energy Consumption and Makespan for Precedence-constrained Applications Using Dynamic Voltage Scaling [Paper presentation]. IEEE Congress on Evolutionary Computation (IEEE CEC 2010) in conjunction with IEEE WCCI 2010, Barcelone, Spain.

Tuyttens, D., Mezmaz, M., Jalwan, J., & Fei, H. (07 May 2010). Le projet GREENRAIL : Recherches en optimisation [Paper presentation]. Seconde journée scientifique du Pöle Hainuyer, Mons, Belgium.

Tuyttens, D., Fei, H., Mezmaz, M., & Jalwan, J. (04 March 2010). GreenRail : un rail moins énergivore. Polytech.News, 43.

Mezmaz, M. (23 February 2010). Nouvelles approches pour le passage sur grilles de calcul de méthodes d'optimisation combinatoire [Paper presentation]. Midis de MathRO, .

Mezmaz, M., Fei, H., Jalwan, J., & Tuyttens, D. (11 February 2010). GreenRail : vers un système ferroviaire moins énergivore [Paper presentation]. Midis de MathRO, .

Mezmaz, M. (2010). Methodes d'Optimisation Combinatoire sur Grilles de Calcul : Une approche efficace pour le passage sur grilles de calcul de méthodes d'optimisation combinatoire. Editions universitaires europeennes.

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