| A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems M Mezmaz, N Melab, Y Kessaci, YC Lee, EG Talbi, AY Zomaya, ... Journal of Parallel and Distributed Computing 71 (11), 1497-1508, 2011 | 437 | 2011 |
| A grid-enabled branch and bound algorithm for solving challenging combinatorial optimization problems M Mezmaz, N Melab, EG Talbi 2007 IEEE International Parallel and Distributed Processing Symposium, 1-9, 2007 | 88 | 2007 |
| A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem J Gmys, M Mezmaz, N Melab, D Tuyttens European Journal of Operational Research 284 (3), 814-833, 2020 | 76 | 2020 |
| Reducing thread divergence in a GPU‐accelerated branch‐and‐bound algorithm I Chakroun, M Mezmaz, N Melab, A Bendjoudi Concurrency and Computation: Practice and Experience 25 (8), 1121-1136, 2013 | 60 | 2013 |
| Combining multi-core and GPU computing for solving combinatorial optimization problems I Chakroun, N Melab, M Mezmaz, D Tuyttens Journal of Parallel and Distributed Computing 73 (12), 1563-1577, 2013 | 57 | 2013 |
| A GPU-accelerated branch-and-bound algorithm for the flow-shop scheduling problem N Melab, I Chakroun, M Mezmaz, D Tuyttens 2012 IEEE International Conference on Cluster Computing, 10-17, 2012 | 43 | 2012 |
| Simulation-based genetic algorithm towards an energy-efficient railway traffic control D Tuyttens, H Fei, M Mezmaz, J Jalwan Mathematical Problems in Engineering 2013, 2013 | 31 | 2013 |
| Parallel cooperative meta-heuristics on the computational grid.: A case study: the bi-objective flow-shop problem N Melab, M Mezmaz, EG Talbi Parallel computing 32 (9), 643-659, 2006 | 31 | 2006 |
| An efficient load balancing strategy for grid-based branch and bound algorithm M Mezmaz, N Melab, EG Talbi Parallel computing 33 (4-5), 302-313, 2007 | 29 | 2007 |
| Parallel evolutionary algorithms for energy aware scheduling Y Kessaci, M Mezmaz, N Melab, EG Talbi, D Tuyttens Intelligent decision systems in large-scale distributed environments, 75-100, 2011 | 28 | 2011 |
| Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO G Briffoteaux, M Gobert, R Ragonnet, J Gmys, M Mezmaz, N Melab, ... Swarm and Evolutionary Computation 57, 100717, 2020 | 27 | 2020 |
| Parallel multi‐core hyper‐heuristic GRASP to solve permutation flow‐shop problem E Alekseeva, M Mezmaz, D Tuyttens, N Melab Concurrency and Computation: Practice and Experience 29 (9), e3835, 2017 | 26 | 2017 |
| A GPU-based Branch-and-Bound algorithm using Integer–Vector–Matrix data structure J Gmys, M Mezmaz, N Melab, D Tuyttens Parallel Computing 59, 119-139, 2016 | 25 | 2016 |
| A multi-core parallel branch-and-bound algorithm using factorial number system M Mezmaz, R Leroy, N Melab, D Tuyttens 2014 IEEE 28th International Parallel and Distributed Processing Symposium …, 2014 | 25 | 2014 |
| A grid-based parallel approach of the multi-objective branch and bound M Mezmaz, N Melab, EG Talbi 15th EUROMICRO International Conference on Parallel, Distributed and Network …, 2007 | 24 | 2007 |
| A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling M Mezmaz, YC Lee, N Melab, EG Talbi, AY Zomaya IEEE Congress on Evolutionary Computation, 1-8, 2010 | 23 | 2010 |
| Using the multi-start and island models for parallel multi-objective optimization on the computational grid M Mezmaz, N Melab, EG Talbi 2006 Second IEEE International Conference on e-Science and Grid Computing (e …, 2006 | 22 | 2006 |
| Parallel hybrid multi-objective island model in peer-to-peer environment N Melab, M Mezmaz, EG Talbi 19th IEEE International Parallel and Distributed Processing Symposium, 9 pp., 2005 | 21 | 2005 |
| Multi-core versus many-core computing for many-task branch-and-bound applied to big optimization problems N Melab, J Gmys, M Mezmaz, D Tuyttens Future Generation Computer Systems 82, 472-481, 2018 | 19 | 2018 |
| Work stealing with private integer–vector–matrix data structure for multi‐core branch‐and‐bound algorithms J Gmys, R Leroy, M Mezmaz, N Melab, D Tuyttens Concurrency and Computation: Practice and Experience 28 (18), 4463-4484, 2016 | 15 | 2016 |
Albert Y. ZomayaPeter Nicol Russell Chair Professor of Computer Science, Sydney UniversityVerified email at sydney.edu.au
