Stolfi Rosso, D., & Danoy, G. (2022). An Evolutionary Algorithm to Optimise a Distributed UAV Swarm Formation System. Applied Sciences, 12(20).
Dilmaghani, S., Brust, M., Ribeiro, C. H., Kieffer, E., Danoy, G., & Bouvry, P. (2022). From communities to protein complexes: A local community detection algorithm on PPI networks. PLoS ONE, 17(1), 1-17.
Duflo, G., Danoy, G., Talbi, E.-G., & Bouvry, P. (2022). Learning to Optimise a Swarm of UAVs. Applied Sciences, 12(19 9587).
Stolfi Rosso, D., Brust, M., Danoy, G., & Bouvry, P. (2022). SuSy-EnGaD: Surveillance System Enhanced by Games of Drones. Drones, 6(13).
Brust, M. R., Danoy, G., Stolfi Rosso, D., & Bouvry, P. (2021). Swarm-based counter UAV defense system. Discover Internet of Things, 1(1).
Fiscarelli, A. M., Brust, M. R., Bouffanais, R., Danoy, G., Piyatumrong, A., & Bouvry, P. (2021, January 11). Interplay between success and patterns of human collaboration: case study of a Thai Research Institute. Scientific Reports.
Stolfi, D. H., Brust, M. R., Danoy, G., & Bouvry, P. (2021). A competitive Predator–Prey approach to enhance surveillance by UAV swarms. Applied Soft Computing, 111, 107701.
Stolfi, D. H., Brust, M. R., Danoy, G., & Bouvry, P. (2021). CONSOLE: intruder detection using a UAV swarm and security rings. Swarm Intell, 15(3), 205--235.
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.
Esmaeilzadeh Dilmaghani, S., Piyatumrong, A., Danoy, G., Bouvry, P., & Brust, M. R. (2020, December 16). 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.
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.
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.
Samir Labib, N., Danoy, G., Musial, J., Brust, M. R., & Bouvry, P. (2019). Internet of Unmanned Aerial Vehicles—A Multilayer Low-Altitude Airspace Model for Distributed UAV Traffic Management. Sensors, 19(21), 22.
Samir Labib, N., Brust, M. R., Danoy, G., & Bouvry, P. (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.
Esmaeilzadeh Dilmaghani, S., Brust, M. R., Piyatumrong, A., Danoy, G., & Bouvry, P. (2019). Link Definition ameliorating Community Detection in Collaboration Networks. Frontiers in Big Data, 2, 22.
Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., & Bouvry, P. (2019). A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities. IEEE Communications Surveys and Tutorials, 21(3, thirdquarter 2019), 2419 - 2465.
Emeras, J., Varrette, S., Plugaru, V., & Bouvry, P. (2019). Amazon Elastic Compute Cloud (EC2) versus In-House HPC Platform: A Cost Analysis. IEEE Transactions on Cloud Computing, 7(2), 456-468.
Kieffer, E., Danoy, G., Bouvry, P., & Nagih, A. (2019, March 20). Tackling Large-Scale and Combinatorial Bi-level Problems with a Genetic Programming Hyper-heuristic. IEEE Transactions on Evolutionary Computation.
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.
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.
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.
Wangsom, P., Lavagnananda, K., & Bouvry, P. (2019). Multi-Objective Scientific-Workflow Scheduling With Data Movement Awareness in Cloud. IEEE Access, 7, 177063-177081.
Tomasoni, M., Capponi, A., Fiandrino, C., Kliazovich, D., Granelli, F., & Bouvry, P. (2018, October). Why Energy Matters? Profiling Energy Consumption of Mobile Crowdsensing Data Collection Frameworks. Pervasive and Mobile Computing.
Ibrahim, A. A. Z. A., Wasim, M. U., Varrette, S., & Bouvry, P. (2018). PRESENCE: Monitoring and Modelling the Performance Metrics of Mobile Cloud SaaS Web Services. Mobile Information Systems, 2018(1351386).
Dentler, J. E., Rosalie, M., Danoy, G., Bouvry, P., Kannan, S., Olivares Mendez, M. A., & Voos, H. (2018, April 20). 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.
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.
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.
Rosalie, M., Danoy, G., Chaumette, S., & Bouvry, P. (2018). Chaos-enhanced mobility models for multilevel swarms of UAVs. Swarm and Evolutionary Computation.
Changaival, B., Rosalie, M., Danoy, G., Lavangnananda, K., & Bouvry, P. (2017). Chaotic Traversal (CHAT): Very Large Graphs Traversal Using Chaotic Dynamics. International Journal of Bifurcation and Chaos, 27(14), 1750215.
Pouryazdan, M., Fiandrino, C., Kantarci, B., Soyata, T., Kliazovich, D., & Bouvry, P. (2017). Intelligent Gaming for Mobile Crowd-Sensing Participants to Acquire Trustworthy Big Data in the Internet of Things. IEEE Access, 5, 22209 - 22223.
Atashpendar, A., Dorronsoro, B., Danoy, G., & Bouvry, P. (2017, June 10). A Scalable Parallel Cooperative Coevolutionary PSO Algorithm for Multi-objective Optimization. Journal of Parallel and Distributed Computing.
Capponi, A., Fiandrino, C., Kliazovich, D., Bouvry, P., & Giordano, S. (2017, March). A Cost-Effective Distributed Framework for Data Collection in Cloud-based Mobile Crowd Sensing Architectures. IEEE Transactions on Sustainable Computing.
Fiandrino, C., Capponi, A., Cacciatore, G., Kliazovich, D., Sorger, U., Bouvry, P., Kantarci, B., Granelli, F., & Giordano, S. (2017, February). CrowdSenSim: a Simulation Platform for Mobile Crowdsensing in Realistic Urban Environments. IEEE Access.
Laredo, J.-L., Guinand, F., Damien, O., & Bouvry, P. (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.
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.
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.
Cortes-Mendoza, J., Tchernykh, A., Armenta-Cano, F., Bouvry, P., Drozdov, & Didelot, L. (2016). Biobjective VoIP Service Management in Cloud Infrastructure. Scientific Programming, 14(5706790:1-5706790:14).
Lopez Loces, M., Musial, J., Pecero, J., Fraire, H., Blazewicz, J., & Bouvry, P. (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.
Tchernykh, A., Lozano, L., Schwiegelshohn, U., Bouvry, P., Pecero, J., Nesmachnow, S., & Drosdov, A. (2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Journal of Grid Computing, 14.
Tretakiova, A., Seredynski, F., & Bouvry, P. (2016). Online Bi-Objective Scheduling for IaaS Clouds Ensuring Quality of Service. Simulation, 92.
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.
Zotkiewicz, M., Guzek, M., Kliazovich, D., & Bouvry, P. (2016). Minimum Dependencies Energy-Efficient Scheduling in Data Centers. IEEE Transactions on Parallel and Distributed Systems.
Grzybek, A., Danoy, G., Bouvry, P., & Seredynski, M. (2015). Mitigating flash crowd effect using connected vehicle technology. Vehicular Communications, 2(4).
Nesmachnow, S., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (2015). Metaheuristics for the Virtual Machine Mapping Problem in Clouds. Informatica, 26(1), 111-134.
Ruiz, P., & Bouvry, P. (2015). Survey on Broadcast Algorithms for Mobile Ad Hoc Networks. ACM Computing Surveys, 48(1).
Guzek, M., Bouvry, P., & Talbi, E.-G. (2015). A Survey of Evolutionary Computation for Resource Management of Processing in Cloud Computing. IEEE Computational Intelligence Magazine, 10(2), 53-67.
Ruiz, P., Dorronsoro, B., Talbi, E.-G., & Bouvry, P. (2015). Finding a robust configuration for the AEDB information dissemination protocol for mobile ad hoc networks. Applied Soft Computing, 32, 494-508.
Guzek, M., Gniewek, A., Bouvry, P., Musial, J., & Blazewicz, J. (2015). Cloud Brokering: Current Practices and Upcoming Challenges. IEEE Cloud Computing, 2(2).
Usman, M., Kliazovich, D., Granelli, F., Bouvry, P., & Castoldi, P. (2015, March). 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.
Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (2015). Optimizing communication satellites payload configuration with exact approaches. Engineering Optimization, 0(0), 1-26.
Cortés-Mendoza, J. M., Tchernykh, Simionovici, A.-M., Bouvry, P., Nesmachnow, S., & Dorronsoro, B. (2015). VoIP Service Model for Multi-objective Scheduling in Cloud Infrastructure. International Journal of Metaheuristics, 4(2), 185-203.
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.
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.
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.
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.
Blazewicz, J., Bouvry, P., Kovalyov, M., & Musial, J. (2014). Erratum to: Internet shopping with price-sensitive discounts. 4OR: a quarterly journal of operations research, 12(4), 403-406.
Guzek, M., Pecero, J., Dorronsoro, B., & Bouvry, P. (2014). Multi-objective evolutionary algorithms for energy-aware scheduling on distributed computing systems. Applied Soft Computing, 24, 432-446.
Schleich, J., Danoy, G., Dorronsoro, B., & Bouvry, P. (2014). Optimising small-world properties in VANETs: Centralised and distributed overlay approaches. Applied Soft Computing, 21(0), 637–646.
Bouvry, P. (2014). Emerging Paradigms and Areas for Expansion. IEEE Cloud Computing, 1(1).
Jimenez Laredo, J. L., Bouvry, P., Lombraña Gonzalez, D., Fernández de Vega, F., García Arenas, M., Merelo Guervós, J. J., & Fernandes, C. M. (2014, January 01). Designing Robust Volunteer-based Evolutionary Algorithms. Genetic Programming and Evolvable Machines.
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.
Dorronsoro, B., Danoy, G., & Bouvry, P. (2014). Special issue: Energy-efficiency in large distributed computing architectures. Future Generation Comp. Syst, 36, 187--188.
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.
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.
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.
Stathakis, A., Danoy, G., Bouvry, P., Talbi, E.-G., & Morelli, G. (2014). Optimising Communication Satellites Payload Configuration with Exact Approaches. Engineering Optimization.
Diaz, C., Pecero, J., & Bouvry, P. (2013, October 22). Scalable, Low complexity, and fast greedy scheduling heuristics for highly heterogeneous distributed computing systems. Journal of Supercomputing.
Taheri, J., Zomaya, A., Bouvry, P., & Khan, S. (2013). Hopfield neural network for simultaneous job scheduling and data replication in grids. Future Generation Computer Systems, 29(8), 1885-1900.
Simionovici, A.-M., Tantar, A., Bouvry, P., & Didelot, L. (2013). Predictive Modeling in a VoIP System. Journal of Telecommunications and Information Technology, 4, 32-40.
Dorronsoro, B., & Bouvry, P. (2013). Cellular genetic algorithms without additional parameters. Journal of Supercomputing, 63(3), 816-835.
Pinel, F., Dorronsoro, B., & Bouvry, P. (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.
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.
Danoy, G. (2013). Editorial: special issue on parallel nature-inspired optimization. Journal of Supercomputing, 63(3), 737-739.
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.
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., Li, H., Wang, L., Chen, D., & Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39(11), 709 - 736.
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.
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.
Castro, H., Villamizar, M., Sotelo, G., Diaz, C., Pecero, J., & Bouvry, P. (2012, July 18). Green Flexible Opportunistic Computing with task consolidation and virtualization. Cluster Computing.
Bertholon, B., Varrette, S., & Bouvry, P. (2012). CERTICLOUD, une plate-forme Cloud IaaS sécurisée. Technique et Science Informatiques, 31(8-9-10), 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.
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.
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.
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.
Ruiz, P., Dorronsoro, B., & Bouvry, P. (2012). Finding Scalable Configurations for AEDB Broadcasting Protocol using Multi-objective Evolutionary. Cluster Computing, 16, 527-544.
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.
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.
Dorronsoro, B., & Bouvry, P. (2011). Differential Evolution Algorithms with Cellular Populations. Lecture Notes in Computer Science, 6239, 320-330.
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.
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.
Danoy, G., Bouvry, P., & Boissier, O. (2010). A Multi-Agent Organizational Framework for Coevolutionary Optimization. Lecture Notes in Computer Science, 4, 199-224.
Seredynski, M., Ignac, T., & Bouvry, P. (2009). Probabilistic Packet Relaying in Wireless Mobile Ad Hoc Network. Parallel Processing and Applied Mathematics.
Danoy, G., Alba, E., & Bouvry, P. (2008). Optimal Interconnection of Ad Hoc Injection Networks. Journal of Interconnection Networks, 9(3), 277–297.
Ostaszewski, M., Seredynski, F., & Bouvry, P. (2007). Coevolutionary-based Mechanisms for Network Anomaly Detection. Journal of Mathematical Modelling and Algorithms, 6(3), 411-431.
Leprévost, F., Monnerat, J., Varrette, S., & Vaudenay, S. (2005). Generating anomalous elliptic curves. Information Processing Letters, 93, 225-230.