FELTEN, F., TALBI, E.-G., & DANOY, G. (26 February 2024). Multi-Objective Reinforcement Learning Based on Decomposition: A Taxonomy and Framework. Journal of Artificial Intelligence Research, 79, 679-723. doi:10.1613/jair.1.15702

STOLFI ROSSO, D., & DANOY, G. (February 2024). Evolutionary swarm formation: From simulations to real world robots. Engineering Applications of Artificial Intelligence, 128, 107501. doi:10.1016/j.engappai.2023.107501

HELBECQUE, G., GMYS, J., MELAB, N., CARNEIRO PESSOA, T., & BOUVRY, P. (19 July 2023). Parallel distributed productivity-aware tree-search using Chapel. Concurrency and Computation: Practice and Experience, 35 (27). doi:10.1002/cpe.7874

STOLFI ROSSO, D., & DANOY, G. (June 2023). Design and analysis of an E-Puck2 robot plug-in for the ARGoS simulator. Robotics and Autonomous Systems, 164, 104412. doi:10.1016/j.robot.2023.104412

STOLFI ROSSO, D., & DANOY, G. (May 2023). Optimising Robot Swarm Formations by Using Surrogate Models and Simulations. Applied Sciences, 13 (10), 5989. doi:10.3390/app13105989

WU, C. M.-W., Zhang, R., Kotagiri, R., & BOUVRY, P. (02 March 2023). Strategic Decisions: Survey, Taxonomy, and Future Directions from Artificial Intelligence Perspective. ACM Computing Surveys, 55 (12), 1-30. doi:10.1145/3571807

Kieffer, E., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2023). Learning private equity recommitment strategies for institutional investors. Frontiers in Artificial Intelligence in Finance. doi:10.3389/frai.2023.1014317

Pulido-Gaytan, B., Tchernykh, A., LEPREVOST, F., BOUVRY, P., & Goldman, A. (2023). Toward Understanding Efficient Privacy-Preserving Homomorphic Comparison. IEEE Access, 11, 102189 - 102206. doi:10.1109/ACCESS.2023.3315655

Stolfi Rosso, D., & Danoy, G. (11 October 2022). An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System. Applied Sciences, 12 (20). doi:10.3390/app122010218

Dilmaghani, S., Brust, M., Ribeiro, C. H., Kieffer, E., Danoy, G., & Bouvry, P. (January 2022). From communities to protein complexes: A local community detection algorithm on PPI networks. PLoS ONE, 17 (1), 1-17. doi:10.1371/journal.pone.0260484

Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2022). Learning to Optimise a Swarm of UAVs. Applied Sciences, 12 (19 9587). doi:10.3390/app12199587

Stolfi Rosso, D., Brust, M., Danoy, G., & Bouvry, P. (2022). SuSy-EnGaD: Surveillance System Enhanced by Games of Drones. Drones, 6 (13). doi:10.3390/drones6010013

Brust, M. R., Danoy, G., Stolfi Rosso, D., & Bouvry, P. (24 February 2021). Swarm-based counter UAV defense system. Discover Internet of Things, 1 (1). doi:10.1007/s43926-021-00002-x

Fiscarelli, A. M., Brust, M. R., Bouffanais, R., Danoy, G., Piyatumrong, A., & Bouvry, P. (2021). Interplay between success and patterns of human collaboration: case study of a Thai Research Institute. Scientific Reports. doi:10.1038/s41598-020-79447-z

STOLFI ROSSO, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). A competitive Predator–Prey approach to enhance surveillance by UAV swarms. Applied Soft Computing, 111, 107701. doi:10.1016/j.asoc.2021.107701

STOLFI ROSSO, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). CONSOLE: intruder detection using a UAV swarm and security rings. Swarm Intelligence, 15 (3), 205--235. doi:10.1007/s11721-021-00193-7

Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2021). UAV-UGV-UMV Multi-Swarms for Cooperative Surveillance. Frontiers in Robotics and AI, 8, 5. doi:10.3389/frobt.2021.616950

Esmaeilzadeh Dilmaghani, S., Piyatumrong, A., Danoy, G., Bouvry, P., & Brust, M. R. (2020). Innovation Networks from Inter-organizational Research Collaborations. Heuristics for Optimization and Learning, 361-375.

Kieffer, E., Danoy, G., Brust, M. R., Bouvry, P., & Nagih, A. (2020). Tackling Large-Scale and Combinatorial Bi-Level Problems With a Genetic Programming Hyper-Heuristic. IEEE Transactions on Evolutionary Computation, 24 (1), 44--56. doi:10.1109/TEVC.2019.2906581

Rosalie, M., Kieffer, E., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage. Journal of Computational Science, 41, 101047. doi:10.1016/j.jocs.2019.101047

Stolfi Rosso, D., Brust, M. R., Danoy, G., & Bouvry, P. (2020). Emerging Inter-Swarm Collaboration for Surveillance Using Pheromones and Evolutionary Techniques. Sensors, 20 (9), 2566. doi:10.3390/s20092566

Samir Labib, N., Danoy, G., Musial, J., Brust, M. R., & Bouvry, P. (03 November 2019). Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management. Sensors, 19 (21), 22. doi:10.3390/s19214779

Samir Labib, N., Brust, M. R., Danoy, G., & Bouvry, P. (October 2019). Technical report on data protection and privacy in smart ICT: Internet of Things: Gap analysis between scientific research and technical standardisation: Gap analysis Internet of Things. Technical report on data protection and privacy in smart ICT, 1, 21-42. doi:10.13140/RG.2.2.25802.49600/1

Esmaeilzadeh Dilmaghani, S., Brust, M. R., Piyatumrong, A., Danoy, G., & Bouvry, P. (26 June 2019). Link Definition ameliorating Community Detection in Collaboration Networks. Frontiers in Big Data, 2, 22. doi:10.3389/fdata.2019.00022

Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (April 2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21 (3, thirdquarter 2019), 2419 - 2465. doi:10.1109/COMST.2019.2914030

Emeras, J., Varrette, S., Plugaru, V., & Bouvry, P. (April 2019). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing, 7 (2), 456-468. doi:10.1109/TCC.2016.2628371

Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2019). Tackling Large-Scale and Combinatorial Bi-level Problems with a Genetic Programming Hyper-heuristic. IEEE Transactions on Evolutionary Computation. doi:10.1109/TEVC.2019.2906581

Fiandrino, C., Allio, N., Kliazovich, D., Giaccone, P., & Bouvry, P. (2019). Profiling Performance of Application Partitioning for Wearable Devices in Mobile Cloud and Fog Computing. IEEE Access, 7, 12156-12166. doi:10.1109/ACCESS.2019.2892508

Musial, J., Kieffer, E., Guzek, M., Danoy, G., Wagle, S. S., Bouvry, P., & Blazewicz, J. (2019). Cloud Brokering with Bundles: Multi-objective Optimization of Services Selection. Foundations of Computing and Decision Sciences. doi:10.2478/fcds-2019-0020

Tchernykh, A., Cortes-Mendoza, J. M., Bychkov, I., Feoktistov, A., Didelot, L., Bouvry, P., Radchenko, G., & Borodulin, K. (2019). Configurable Cost-Quality Optimization of Cloud-based VoIP. Journal of Parallel and Distributed Computing, 133, 319-336. doi:10.1016/j.jpdc.2018.07.001

Wangsom, P., Lavagnananda, K., & Bouvry, P. (2019). Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud. IEEE Access, 7, 177063-177081. doi:10.1109/ACCESS.2019.2957998

Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018). Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks. Pervasive and Mobile Computing. doi:10.1016/j.pmcj.2018.10.002

Ibrahim, A. A. Z. A., Wasim, M. U., Varrette, S., & Bouvry, P. (August 2018). PRESENCE: Monitoring and Modelling the Performance Metrics of Mobile Cloud SaaS Web Services. Mobile Information Systems, 2018 (1351386). doi:10.1155/2018/1351386

Dentler, J. E., Rosalie, M., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2018). Collision Avoidance Effects on the Mobility of a UAV Swarm Using Chaotic Ant Colony with Model Predictive Control. Journal of Intelligent and Robotic Systems, 1-17. doi:10.1007/s10846-018-0822-8

Neveu, E., Popov, P., Hoffmann, A., Migliosi, A., Besseron, X., Danoy, G., Bouvry, P., & Grudinin, S. (2018). RapidRMSD: Rapid determination of RMSDs corresponding to motions of flexible molecules. Bioinformatics. doi:10.1093/bioinformatics/bty160

Ostaszewski, M., Kieffer, E., Danoy, G., Schneider, R., & Bouvry, P. (2018). Clustering approaches for visual knowledge exploration in molecular interaction networks. BMC Bioinformatics, 19 (1), 308. doi:10.1186/s12859-018-2314-z

Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2018). Chaos-enhanced mobility models for multilevel swarms of UAVs. Swarm and Evolutionary Computation. doi:10.1016/j.swevo.2018.01.002

Changaival, B., Rosalie, M., Danoy, G., Lavangnananda, K., & Bouvry, P. (30 December 2017). Chaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics. International Journal of Bifurcation and Chaos, 27 (14), 1750215. doi:10.1142/S0218127417502157

Pouryazdan, M., Fiandrino, C., Kantarci, B., Soyata, T., Kliazovich, D., & Bouvry, P. (11 October 2017). Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things. IEEE Access, 5, 22209 - 22223. doi:10.1109/ACCESS.2017.2762238

Atashpendar, A., Dorronsoro, B., Danoy, G., & Bouvry, P. (2017). A Scalable Parallel Cooperative Coevolutionary PSO Algorithm for Multi-objective Optimization. Journal of Parallel and Distributed Computing. doi:10.1016/j.jpdc.2017.05.018

Capponi, A., Fiandrino, C., Kliazovich, D., Bouvry, P., & Giordano, S. (2017). A Cost-Effective Distributed Framework for Data Collection in Cloud-based Mobile Crowd Sensing Architectures. IEEE Transactions on Sustainable Computing. doi:10.1109/TSUSC.2017.2666043

Fiandrino, C., Capponi, A., Cacciatore, G., Kliazovich, D., Sorger, U., Bouvry, P., Kantarci, B., Granelli, F., & Giordano, S. (2017). CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. IEEE Access. doi:10.1109/ACCESS.2017.2671678

Armenta-Cano, F. A., Tchernykh, A., Cortes-Mendoza, J. M., Yahyapour, R., Drozdov, A. Y., Bouvry, P., Kliazovich, D., Avetisyan, A., & Nesmachnow, S. (2017). Min_c: Heterogeneous concentration policy for energy-aware scheduling of jobs with resource contention. Programming and Computer Software, 43 (3), 204-215. doi:10.1134/S0361768817030021

Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2017). A new modeling approach for the biobjective exact optimization of satellite payload configuration. International Transactions in Operational Research. doi:10.1111/itor.12386

Laredo, J.-L., Guinand, F., Damien, O., & Bouvry, P. (01 January 2017). Load Balancing at the Edge of Chaos: How Can Self-Organized Criticality Lead to Energy-Efficient Computing. IEEE Transactions on Parallel and Distributed Systems, 28, 517-529. doi:10.1109/TPDS.2016.2582160

Cortes-Mendoza, J., Tchernykh, A., Armenta-Cano, F., Bouvry, P., Drozdov, & Didelot, L. (16 August 2016). Biobjective VoIP Service Management in Cloud Infrastructure. Scientific Programming, 14 (5706790:1-5706790:14). doi:10.1155/2016/5706790

Lopez Loces, M., Musial, J., Pecero, J., Fraire, H., Blazewicz, J., & Bouvry, P. (01 March 2016). Exact and heuristic approaches to solve the Internet shopping optimization problem with delivery costs. International Journal of Applied Mathematics and Computer Science, 26, 391-406. doi:10.1515/amcs-2016-0028

Tchernykh, A., Lozano, L., Schwiegelshohn, U., Bouvry, P., Pecero, J., Nesmachnow, S., & Drosdov, A. (01 March 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 14. doi:10.1007/s10723-015-9340-0

Kliazovich, D., Pecero, J. E., Tchernykh, A., Bouvry, P., khan, S. U., & Zomaya, A. Y. (2016). CA-DAG: Modeling Communication-Aware Applications for Scheduling in Cloud Computing. Journal of Grid Computing, 14 (1), 23-39. doi:10.1007/s10723-015-9337-8

Tretakiova, A., Seredynski, F., & Bouvry, P. (01 January 2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Simulation, 92. doi:10.1177/0037549715612579

Zotkiewicz, M., Guzek, M., Kliazovich, D., & Bouvry, P. (2016). Minimum Dependencies Energy-Efficient Scheduling in Data Centers. IEEE Transactions on Parallel and Distributed Systems. doi:10.1109/TPDS.2016.2542817

Grzybek, A., Danoy, G., Bouvry, P., & Seredynski, M. (October 2015). Mitigating flash crowd effect using connected vehicle technology. Vehicular Communications, 2 (4). doi:10.1016/j.vehcom.2015.10.002

Nesmachnow, S., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (October 2015). Metaheuristics for the Virtual Machine Mapping Problem in Clouds. Informatica, 26 (1), 111-134. doi:10.15388/Informatica.2015.41

Ruiz, P., & Bouvry, P. (September 2015). Survey on Broadcast Algorithms for Mobile Ad Hoc Networks. ACM Computing Surveys, 48 (1). doi:10.1145/2786005

Guzek, M., Bouvry, P., & Talbi, E.-G. (May 2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10 (2), 53-67. doi:10.1109/MCI.2015.2405351

Ruiz, P., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (April 2015). Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks. Applied Soft Computing, 32, 494-508. doi:10.1016/j.asoc.2015.04.003

Guzek, M., Gniewek, A., Bouvry, P., Musial, J., & Blazewicz, J. (March 2015). Cloud Brokering: Current Practices and Upcoming Challenges. IEEE Cloud Computing, 2 (2). doi:10.1109/MCC.2015.32

Usman, M., Kliazovich, D., Granelli, F., Bouvry, P., & Castoldi, P. (2015). Energy efficiency of TCP: An analytical model and its application to reduce energy consumption of the most diffused transport protocol. International Journal of Communication Systems. doi:10.1002/dac.2934

Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (11 February 2015). Optimizing communication satellites payload configuration with exact approaches. Engineering Optimization, 0 (0), 1-26. doi:10.1080/0305215X.2014.995176

Aravanis, A., Shankar, B., Arapoglou, P.-D., Danoy, G., Cottis, P. G., & Ottersten, B. (2015). Power Allocation in Multibeam Satellite Systems: A Two-Stage Multi-Objective Optimization. IEEE Transactions on Wireless Communications. doi:10.1109/TWC.2015.2402682

Boru, D., Kliazovich, D., Granelli, F., Bouvry, P., & Zomaya, A. Y. (2015). Energy-efficient Data Replication in Cloud Computing Datacenters. Cluster Computing, 18 (1), 385-402. doi:10.1007/s10586-014-0404-x

Bouvry, P., Mayer, R., Muszynski, J., Petcu, D., Rauber, A., Tempesti, G., Trinh, & Varrette, S. (2015). Resilience within Ultrascale Computing System: Challenges and Opportunities from Nesus Project. Supercomputing Frontiers and Innovations, 2 (2), 46--63. doi:10.14529/JSFI150203

Cortés-Mendoza, J. M., Tchernykh, Simionovici, A.-M., Bouvry, P., Nesmachnow, S., & Dorronsoro, B. (January 2015). VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure. International Journal of Metaheuristics, 4 (2), 185-203. doi:10.1504/IJMHEUR.2015.074251

Fiandrino, C., Kliazovich, D., Bouvry, P., & Zomaya, A. Y. (2015). Performance and Energy Efficiency Metrics for Communication Systems of Cloud Computing Data Centers. IEEE Transactions on Cloud Computing. doi:10.1109/TCC.2015.2424892

Blazewicz, J., Bouvry, P., Kovalyov, M., & Musial, J. (December 2014). Erratum to: Internet shopping with price-sensitive discounts. 4OR: A Quarterly Journal of Operations Research, 12 (4), 403-406. doi:10.1007/s10288-014-0271-6

Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (November 2014). Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems. Applied Soft Computing, 24, 432-446. doi:10.1016/j.asoc.2014.07.010

Schleich, J., Danoy, G., Dorronsoro, B., & Bouvry, P. (August 2014). Optimising small-world properties in VANETs: Centralised and distributed overlay approaches. Applied Soft Computing, 21 (0), 637–646. doi:10.1016/j.asoc.2014.03.045

Bouvry, P. (May 2014). Emerging Paradigms and Areas for Expansion. IEEE Cloud Computing, 1 (1). doi:10.1109/MCC.2014.8

DANOY, G., SCHLEICH, J., BOUVRY, P., & Dorronsoro, B. (01 April 2014). A Parallel Multi-Objective Cooperative Coevolutionary Algorithm for Optimising Small-World Properties in VANETs. CLEI Electronic Journal, 17 (1). doi:10.19153/cleiej.17.1.1

Blazewicz, J., Bouvry, P., Kovalyov, M., & Musial, J. (2014). Internet shopping with price sensitive discounts. 4OR: A Quarterly Journal of Operations Research, 12 (1), 35-48. doi:10.1007/s10288-013-0230-7

Dorronsoro, B., Danoy, G., & Bouvry, P. (2014). Special issue: Energy-efficiency in large distributed computing architectures. Future Generation Comp. Syst, 36, 187--188. doi:10.1016/j.future.2014.03.006

Guzek, M., Varrette, S., Plugaru, V., Pecero, J., & Bouvry, P. (2014). A Holistic Model of the Performance and the Energy-Efficiency of Hypervisors in an HPC Environment. Concurrency and Computation: Practice and Experience. doi:10.1007/978-3-642-40517-4_13

Jimenez Laredo, J. L., Bouvry, P., Guinand, F., Dorronsoro, B., & Fernandes, C. (2014). The sandpile scheduler: How self-organized criticality may lead to dynamic load-balancing. Cluster Computing. doi:10.1007/s10586-013-0328-x

Jimenez Laredo, J. L., Bouvry, P., Lombraña Gonzalez, D., Fernández de Vega, F., García Arenas, M., Merelo Guervós, J. J., & Fernandes, C. M. (2014). Designing Robust Volunteer-based Evolutionary Algorithms. Genetic Programming and Evolvable Machines. doi:10.1007/s10710-014-9213-5

Mezmaz, M., Mehdi, M., Bouvry, P., Talbi, E.-G., & Tuyttens, D. (2014). Solving the three dimensional quadratic assignment problem on a computational grid. Cluster Computing, 17 (2), 205-217. doi:10.1007/s10586-013-0313-4

Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (2014). Optimising Communication Satellites Payload Configuration with Exact Approaches. Engineering Optimization. doi:10.1080/0305215X.2014.995176

Diaz, C., Pecero, J., & Bouvry, P. (2013). Scalable, Low complexity, and fast greedy scheduling heuristics for highly heterogeneous distributed computing systems. Journal of Supercomputing. doi:10.1007/s11227-013-1038-0

Taheri, J., Zomaya, A., Bouvry, P., & Khan, S. (October 2013). Hopfield neural network for simultaneous job scheduling and data replication in grids. Future Generation Computer Systems, 29 (8), 1885-1900. doi:10.1016/j.future.2013.04.020

Simionovici, A.-M., Tantar, A., Bouvry, P., & Didelot, L. (September 2013). Predictive Modeling in a VoIP System. Journal of Telecommunications and Information Technology, 4, 32-40.

Dorronsoro, B., & Bouvry, P. (March 2013). Cellular genetic algorithms without additional parameters. Journal of Supercomputing, 63 (3), 816-835. doi:10.1007/s11227-012-0773-y

Pinel, F., Dorronsoro, B., & Bouvry, P. (31 January 2013). Solving very large instances of the scheduling of independent tasks problem on the GPU. Journal of Parallel and Distributed Computing, 73 (1), 101-110. doi:10.1016/j.jpdc.2012.02.018

Caldeira, F., Schaberreiter, T., Varrette, S., Monteiro, E., Sim$\texto$es, P., Khadraoui, D., & Bouvry, P. (2013). Trust Based Interdependency Weighting for On-line Risk Monitoring in Interdependent Critical Infrastructures. International Journal of Secure Software Engineering, 4 (4), 47-69. doi:10.4018/ijsse.2013100103

Danoy, G. (2013). Editorial: special issue on parallel nature-inspired optimization. Journal of Supercomputing, 63 (3), 737-739. doi:10.1007/s11227-012-0820-8

Dorronsoro, B., Danoy, G., Nebro, A. J., & Bouvry, P. (2013). Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution. Computers and Operations Research, 40 (6), 1552-1563. doi:10.1016/j.cor.2011.11.014

Hussain, H., Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., Bouvry, P., ... Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39 (11), 709 - 736. doi:10.1016/j.parco.2013.09.009

Iturriaga, S., Nesmachnow, S., Dorronsoro, B., & Bouvry, P. (2013). Energy Efficient Scheduling in Heterogeneous Systems with a Parallel Multiobjective Local Search. Computing and Informatics, 32 (2), 273-294.

Kliazovich, D., Bouvry, P., & Khan, S. U. (2013). DENS: data center energy-efficient network-aware scheduling. Cluster Computing, 16 (1), 65-75. doi:10.1007/s10586-011-0177-4

Nesmachnow, S., Dorronsoro, B., Pecero, J., & Bouvry, P. (2013). Energy-Aware Scheduling on Multicore Heterogeneous Grid Computing Systems. Journal of Grid Computing, 11, 653-680. doi:10.1007/s10723-013-9258-3

SCHLEICH, J., An Le Thi, H., & BOUVRY, P. (November 2012). Solving the minimum M-dominating set problem by a continuous optimization approach based on DC programming and DCA. Journal of Combinatorial Optimization, 24 (4), 397 - 412. doi:10.1007/s10878-011-9396-0

Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., & Bouvry, P. (2012). Green Flexible Opportunistic Computing with task consolidation and virtualization. Cluster Computing. doi:10.1007/s10586-012-0222-y

Bertholon, B., Varrette, S., & Bouvry, P. (2012). CERTICLOUD, une plate-forme Cloud IaaS sécurisée. Technique et Science Informatiques, 31 (8-9-10), 1121-1152. doi:10.3166/TSI.31.1121-1152

Danoy, G., Dorronsoro, B., & Bouvry, P. (2012). New State-of-the-art Results for Cassini2 Global Trajectory Optimization Problem. Acta Futura : The Journal of the Advanced Concepts Team, 5, 56 - 72.

Kliazovich, D., Bouvry, P., & U. Khan, S. (2012). GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. Journal of Supercomputing, 62 (3), 1263-1283. doi:10.1007/s11227-010-0504-1

Muszynski, J., Varrette, S., Bouvry, P., Seredynski, F., & Khan, S. U. (2012). Convergence Analysis of Evolutionary Algorithms in the Presence of Crash-Faults and Cheaters. Computers and Mathematics with Applications, 64 (12), 3805 - 3819. doi:10.1016/j.camwa.2012.03.004

Pinel, F., Dorronsoro, B., Pecero, J., Bouvry, P., & Khan, S. U. (2012). A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids. Cluster Computing. doi:10.1007/s10586-012-0207-x

Ruiz, P., & Bouvry, P. (2012). On the Improvement of the Enhanced Distance Based Broadcasting Algorithm. International Journal of Communication Networks and Distributed Systems, 9 (3/4), 225-246. doi:10.1504/IJCNDS.2012.048872

Ruiz, P., Dorronsoro, B., & Bouvry, P. (2012). Finding Scalable Configurations for AEDB Broadcasting Protocol using Multi-objective Evolutionary. Cluster Computing, 16, 527-544. doi:10.1007/s10586-012-0220-0

Ruiz, P., Dorronsoro, B., Bouvry, P., & Tardon, L. J. (2012). Information Dissemination in VANETs based upon a Tree Topology. Ad Hoc Networks, 10 (1), 111-127. doi:10.1016/j.adhoc.2011.06.005

Ruiz, P., Dorronsoro, B., Valentini, G., Pinel, F., & Bouvry, P. (2012). Optimisation of the enhanced distance based broadcasting protocol for MANETs. Journal of Supercomputing, 62 (3), 1213-1240. doi:10.1007/s11227-011-0564-x

Dorronsoro, B., & Bouvry, P. (2011). Differential Evolution Algorithms with Cellular Populations. Lecture Notes in Computer Science, 6239, 320-330. doi:10.1007/978-3-642-15871-1_33

Dorronsoro, B., & Bouvry, P. (2011). Improving Classical and Decentralized Differential Evolution with New Mutation Operator and Population Topologies. IEEE Transactions on Evolutionary Computation, 15 (1), 67-98. doi:10.1109/TEVC.2010.2081369

Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x

Danoy, G., Bouvry, P., & Boissier, O. (2010). A Multi-Agent Organizational Framework for Coevolutionary Optimization. Lecture Notes in Computer Science, 4, 199-224. doi:10.1007/978-3-642-18222-8_9

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