Towards a Coordination Model for Parallel Cooperative P2P Multi-objective Optimization. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (EGC, 2005)

Parallel Hybrid Multi-Objective Island Model in Peer-to-Peer Environment. - Nouredine Melab; Mohand-Said Mezmaz; El-Ghazali Talbi (IPDPS, 2005)

Parallel Hybrid Multiobjective Metaheuristics on P2P Systems. - El-Ghazali Talbi; Nouredine Melab; Mohand-Said Mezmaz; B. Wei (Handbook of Bioinspired Algorithms and Applications, 2005)

Using the Multi-Start and Island Models for Parallel Multi-Objective Optimization on the Computational Grid. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (e-Science, 2006)

A parallel exact hybrid approach for solving multi-objective problems on the computational grid. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (IPDPS, 2006)

Parallel cooperative meta-heuristics on the computational grid.: A case study: the bi-objective Flow-Shop problem. - Nouredine Melab; Mohand-Said Mezmaz; El-Ghazali Talbi (Parallel Comput., 2006)

A Grid-enabled Branch and Bound Algorithm for Solving Challenging Combinatorial Optimization Problems. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (IPDPS, 2007)

A Grid-based Parallel Approach of the Multi-Objective Branch and Bound. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (PDP, 2007)

Combining Metaheuristics and Exact Methods for Solving Exactly Multi-objective Problems on the Grid. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (J. Math. Model. Algorithms, 2007)

An efficient load balancing strategy for grid-based branch and bound algorithm. - Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi (Parallel Comput., 2007)

An Efficient Hybrid P2P Approach for Non-redundant Tree Exploration in B&B Algorithms. - Malika Mehdi; Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi; Pascal Bouvry (CISIS, 2008)

P2P computing for large tree exploration-based exact optimisation. - Malika Mehdi; Mohand-Said Mezmaz; Nouredine Melab; El-Ghazali Talbi; Pascal Bouvry (Int. J. Grid Util. Comput., 2009)

A bi-objective hybrid genetic algorithm to minimize energy consumption and makespan for precedence-constrained applications using dynamic voltage scaling. - Mohand-Said Mezmaz; Young Choon Lee; Nouredine Melab; El-Ghazali Talbi; Albert Y. Zomaya (IEEE Congress on Evolutionary Computation, 2010)

A parallel island-based hybrid genetic algorithm for precedence-constrained applications to minimize energy consumption and makespan. - Mohand-Said Mezmaz; Yacine Kessaci; Young Choon Lee; Nouredine Melab; El-Ghazali Talbi; Albert Y. Zomaya; Daniel Tuyttens (GRID, 2010)

A parallel bi-objective hybrid metaheuristic for energy-aware scheduling for cloud computing systems. - Mohand-Said Mezmaz; Nouredine Melab; Yacine Kessaci; Young Choon Lee; El-Ghazali Talbi; Albert Y. Zomaya; Daniel Tuyttens (J. Parallel Distributed Comput., 2011)

Parallel Evolutionary Algorithms for Energy Aware Scheduling. - Yacine Kessaci; Mohand Mezmaz; Nouredine Melab; El-Ghazali Talbi; Daniel Tuyttens (Intelligent Decision Systems in Large-Scale Distributed Environments, 2011)

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. - Nouredine Melab; Imen Chakroun; Mohand Mezmaz; Daniel Tuyttens (CLUSTER, 2012)

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm. - Imen Chakroun; Mohand-Said Mezmaz; Nouredine Melab; Ahcène Bendjoudi (Concurr. Comput. Pract. Exp., 2013)

Combining multi-core and GPU computing for solving combinatorial optimization problems. - Imen Chakroun; Nordine Melab; Mohand-Said Mezmaz; Daniel Tuyttens (J. Parallel Distributed Comput., 2013)

A Multi-core Parallel Branch-and-Bound Algorithm Using Factorial Number System. - Mohand Mezmaz; Rudi Leroy; Nouredine Melab; Daniel Tuyttens (IPDPS, 2014)

Work Stealing Strategies For Multi-Core Parallel Branch-and-Bound Algorithm Using Factorial Number System. - Rudi Leroy; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (PMAM, 2014)

Solving the three dimensional quadratic assignment problem on a computational grid. - Mohand Mezmaz; Malika Mehdi; Pascal Bouvry; Nordine Melab; El-Ghazali Talbi; Daniel Tuyttens (Clust. Comput., 2014)

Parallel Branch-and-Bound using private IVM-based work stealing on Xeon Phi MIC coprocessor. - Nouredine Melab; Rudi Leroy; Mohand Mezmaz; Daniel Tuyttens (HPCS, 2015)

IVM-Based Work Stealing for Parallel Branch-and-Bound on GPU. - Jan Gmys; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (PPAM (1), 2015)

Vectorization of local search for solving flow-shop scheduling problem on Xeon Phi™ MIC co-processors. - Gautier Vaillant; Mohand Mezmaz; Daniel Tuyttens; Nouredine Melab (HPCS, 2016)

Work stealing with private integer-vector-matrix data structure for multi-core branch-and-bound algorithms. - Jan Gmys; Rudi Leroy; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (Concurr. Comput. Pract. Exp., 2016)

A GPU-based Branch-and-Bound algorithm using Integer-Vector-Matrix data structure. - Jan Gmys; Mohand-Said Mezmaz; Nouredine Melab; Daniel Tuyttens (Parallel Comput., 2016)

Parallel multi-core hyper-heuristic GRASP to solve permutation flow-shop problem. - Ekaterina Alekseeva; Mohand Mezmaz; Daniel Tuyttens; Nouredine Melab (Concurr. Comput. Pract. Exp., 2017)

IVM-based parallel branch-and-bound using hierarchical work stealing on multi-GPU systems. - Jan Gmys; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (Concurr. Comput. Pract. Exp., 2017)

Multi and many-core computing for parallel metaheuristics. - Nouredine Melab; Mohand Mezmaz (Concurr. Comput. Pract. Exp., 2017)

An Adaptive Evolution Control based on Confident Regions for Surrogate-assisted Optimization. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (HPCS, 2018)

Multi-core versus many-core computing for many-task Branch-and-Bound applied to big optimization problems. - Nouredine Melab; Jan Gmys; Mohand-Said Mezmaz; Daniel Tuyttens (Future Gener. Comput. Syst., 2018)

Multi-level Parallel Branch-and-Bound Algorithms for Solving Permutation Problems on GPU-accelerated Clusters. - Mohand Mezmaz (2020)

A computationally efficient Branch-and-Bound algorithm for the permutation flow-shop scheduling problem. - Jan Gmys; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (Eur. J. Oper. Res., 2020)

Evolution Control for parallel ANN-assisted simulation-based optimization application to Tuberculosis Transmission Control. - Guillaume Briffoteaux; Romain Ragonnet; Mohand-Said Mezmaz; Nouredine Melab; Daniel Tuyttens (Future Gener. Comput. Syst., 2020)

Parallel cycle-based branch-and-bound method for Bayesian network learning. - Youcef Benmouna; Mohand-Said Mezmaz; Saïd Mahmoudi; Mohammed Amine Chikh (Pattern Anal. Appl., 2020)

Parallel surrogate-assisted optimization: Batched Bayesian Neural Network-assisted GA versus q-EGO. - Guillaume Briffoteaux; Maxime Gobert 002; Romain Ragonnet; Jan Gmys; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (Swarm Evol. Comput., 2020)

Many-Core Branch-and-Bound for GPU Accelerators and MIC Coprocessors. - Nouredine Melab; Jan Gmys; Mohand Mezmaz; Daniel Tuyttens (High-Performance Simulation-Based Optimization, 2020)

Hybrid Acquisition Processes in Surrogate-Based Optimization. Application to Covid-19 Contact Reduction. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (BIOMA, 2022)

Comparing Parallel Surrogate-Based and Surrogate-Free Multi-objective Optimization of COVID-19 Vaccines Allocation. - Guillaume Briffoteaux; Romain Ragonnet; Pierre Tomenko; Mohand Mezmaz; Nouredine Melab; Daniel Tuyttens (OLA, 2022)

Investigating surrogate-based hybrid acquisition processes. Application to Covid-19 contact mitigation. - Guillaume Briffoteaux; Nouredine Melab; Mohand Mezmaz; Daniel Tuyttens (Appl. Soft Comput., 2024)