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Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (2014). Energy management through optimized routing and device powering for greener communication networks. IEEE/ACM Transactions on Networking, 22(1), 313-325. Lien externe
Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (janvier 2013). A robust optimization approach for energy-aware routing in MPLS networks [Communication écrite]. International Conference on Computing, Networking and Communications (ICNC 2013), San Diego, CA, United states. Lien externe
Addis, B., Capone, A., Carello, G., Gianoli, L. G., & Sanso, B. (octobre 2012). Energy aware management of resilient networks with shared protection [Communication écrite]. 2nd International Conference on Sustainable Internet and ICT for Sustainability (SustainIT 2012), Pisa, Italy. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2022). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. Journal of Heuristics, 28(4), 539-582. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (mai 2022). OptiMaP: swarm-powered Optimized 3D Mapping Pipeline for emergency response operations [Communication écrite]. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina del Rey, Los Angeles, CA, USA. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). Heuristics for optimizing 3D mapping missions over swarm-powered ad-hoc clouds. (Rapport technique n° 2021-09). Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2021). The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case. IEEE Internet of Things Journal, 8(9), 7316-7332. Lien externe
Costa, L. R., Aloise, D., Gianoli, L. G., & Lodi, A. (2020). The covering-assignment problem for swarm-powered ad-hoc clouds : a distributed 3D mapping use-case. (Rapport technique n° 2020-28). Lien externe
Delage, E., Gianoli, L. G., & Sanso, B. (2018). A practicable robust counterpart formulation for decomposable functions: A network congestion case study. Operations Research, 66(2), 535-567. Lien externe
