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 Peer Reviewed verified by ORBi |
STOLFI ROSSO, D., & DANOY, G. (2023). Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques. In GECCO 2023 Companion - Proceedings of the 2023 Genetic and Evolutionary Computation Conference Companion (pp. 771-774). Association for Computing Machinery, Inc. doi:10.1145/3583133.3590651 Peer reviewed |
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 Peer Reviewed verified by ORBi |
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 Peer Reviewed verified by ORBi |
STOLFI ROSSO, D., & DANOY, G. (2023). Evaluating Surrogate Models for Robot Swarm Simulations. In Optimization and Learning - 6th International Conference, OLA 2023, Proceedings (pp. 224-235). Switzerland: Springer Nature Switzerland. doi:10.1007/978-3-031-34020-8_17 Peer reviewed |
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 Peer Reviewed verified by ORBi |
STOLFI ROSSO, D., & DANOY, G. (2022). Optimising Autonomous Robot Swarm Parameters for Stable Formation Design. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 1281-1289). doi:10.1145/3512290.3528709 Peer reviewed |
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 Peer Reviewed verified by ORBi |
STOLFI ROSSO, D., BRUST, M., DANOY, G., & BOUVRY, P. (2021). Improving Pheromone Communication for UAV Swarm Mobility Management. In ICCCI 2021: Computational Collective Intelligence (pp. 228-240). doi:10.1007/978-3-030-88081-1_17 Peer reviewed |
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 Peer Reviewed verified by ORBi |
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 Peer Reviewed verified by ORBi |
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 Peer Reviewed verified by ORBi |
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 Peer reviewed |
STOLFI ROSSO, D., BRUST, M. R., DANOY, G., & BOUVRY, P. (2020). A Cooperative Coevolutionary Approach to Maximise Surveillance Coverage of UAV Swarms. In IEEE 17th Annual Consumer Communications & Networking Conference CCNC 2020, Las Vegas, NV, USA, January 10-13, 2020 (pp. 1--6). IEEE. doi:10.1109/CCNC46108.2020.9045643 Peer reviewed |
STOLFI ROSSO, D., BRUST, M. R., DANOY, G., & BOUVRY, P. (2020). Competitive Evolution of a UAV Swarm for Improving Intruder Detection Rates. In 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2020, New Orleans, LA, USA, May 18-22, 2020 (pp. 528--535). IEEE. doi:10.1109/IPDPSW50202.2020.00094 Peer reviewed |
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 Peer Reviewed verified by ORBi |
STOLFI ROSSO, D., BRUST, M. R., DANOY, G., & BOUVRY, P. (2020). Optimizing the Performance of an Unpredictable UAV Swarm for Intruder Detection. In Optimization and Learning - Third International Conference, OLA 2020, Cádiz, Spain, February 17-19, 2020, Proceedings (pp. 37--48). Springer. doi:10.1007/978-3-030-41913-4_4 Peer reviewed |