Publications

Journal papers:

• D. Faccini, F. Maggioni, F. A. Potra (2022). Robust and distributionally robust optimization models for Linear Support Vector Machine. Computers and Operations Research 147, 105930. DOI: https://doi.org/10.1016/j.cor.2022.105930

• X. Chou, E. Messina (2023). Problem-Driven Scenario Generation for Stochastic Programming Problems: A Survey. Algorithms 16 (10), 479. DOI: https://doi.org/10.3390/a16100479

• G. Bayraksan, F. Maggioni, D. Faccini, M. Yang (2024). Bounds for Multistage Mixed Integer Distributionally Robust Optimization. Siam Journal on Optimization 34 (1). DOI: https://doi.org/10.1137/22M147178X

• E. Fadda, D. Manerba, R. Tadei (2024). How to locate services optimizing redundancy: A comparative analysis of K-Covering Facility Location models. Socio-Economic Planning Sciences 94, 101938. DOI: https://doi.org/10.1016/j.seps.2024.101938

• A. De Maio, J. W. Ohlmann, S. Stoia, F. Vocaturo (2024). Analysis of in-store crowdshipping in a stochastic dynamic pickup-and-delivery system. Central European Journal of Operations Research 33, pp. 1149-1170. DOI: https://doi.org/10.1007/s10100-024-00939-8

• L. Bertazzi, G. O. Chagas, L. C. Coelho, D. Laganà, F. Vocaturo (2025). Online algorithms for the multi-vehicle inventory-routing problem with real-time demands. Transportation Research Part C: Emerging Technologies 170, 104892. DOI: https://doi.org/10.1016/j.trc.2024.104892

• R. Cavagnini, F. Maggioni, L. Bertazzi, M. Hewitt (2024). A two-stage stochastic optimization model for the bike-sharing allocation and rebalancing problem. EURO Journal on Transportation and Logistics 13, 100140. DOI: https://doi.org/10.1016/j.ejtl.2024.100140.

• M. Carbonera, M. Ciavotta, E. Messina (2024). Variational Autoencoders and Generative Adversarial Networks for Multivariate Scenario Generation. Data Science for Transportation 6 (3), 23. DOI: https://doi.org/10.1007/s42421-024-00097-y

• V. Bonomi, D. Manerba, R. Mansini, R. Zanotti (2025). Optimizing Attended Home Delivery: Multiple recovery options and customer availability profiles to face synchronization failures. International Journal of Production Economics 279, 109463. DOI: https://doi.org/10.1016/j.ijpe.2024.109463

• A. Spinelli, F. Maggioni, T. Rodrigues Pereira Ramos, A.P. Barbosa-Póvoa, D. Vigo (2025). A rolling horizon heuristic approach for a multi-stage stochastic waste collection problem. European Journal of Operational Research 323(1), pp. 276-296. DOI: https://doi.org/10.1016/j.ejor.2024.11.041

• F. Maggioni, F. Dabbene, G. Pflug (2025). Multistage robust convex optimization problems: A sampling based approach. Annals of Operations Research 347, pp. 1385-1423. DOI: https://doi.org/10.1007/s10479-025-06545-4

• F. Maggioni, A. Spinelli (2025). A Novel Robust Optimization Model for Nonlinear Support Vector Machine. European Journal of Operational Research 322(1), pp. 237-253. DOI: https://doi.org/10.1016/j.ejor.2024.12.014

• C. Filippi, F. Maggioni, M.G. Speranza (2025). The robust shortest path: a review and open problems. Computers and Operations Research 182, 107096. DOI: https://doi.org/10.1016/j.cor.2025.107096

• A. De Maio, G. Laporte, R. Musmanno, F. Vocaturo (2025). Sustainable risk mitigation in hazardous material transportation. Computers and Operations Research 184,  107228. DOI: https://doi.org/10.1016/j.cor.2025.107228 

• R. De Leone, F. Maggioni, A. Spinelli (2025). A Robust Twin Parametric Margin Support Vector Machine for Multiclass Classification. EURO Journal of Computational Optimization 13, 100115. DOI: https://doi.org/10.1016/j.ejco.2025.100115 

• M. Piazza, A. Spinelli, F. Maggioni, M. Bedoni, E. Messina (2025). A robust support vector machine approach for Raman data classification. Decision Analytics Journal 16, 100595.  DOI: https://doi.org/10.1016/j.dajour.2025.100595

• I. Seyedi, A. Candelieri, E. Messina, F. Archetti (2025). Wasserstein Distributionally Robust Optimization for Chance Constrained Facility Location Under Uncertain Demand. Mathematics 13 (13), art. no. 2144. DOI: https://doi.org/10.3390/math13132144

• Z. Akbari-Aghghaleh, A. Mozdgir, I. Seyedi, E. Messina (2025). Designing a perishable closed-loop poultry supply chain: metaheuristic approaches and model evaluation. Environment, Development and Sustainability. DOI: https://doi.org/10.1007/s10668-025-06675-6

• G. Consigli, D. Dentcheva, F. Maggioni, G. Micheli (2026). Asset liability management under sequential dominance constraints. Annals of Operational Research. DOI: https://doi.org/10.1007/s10479-025-06988-9

• A. Spinelli, D. Bezzi, O. Jabali, F. Maggioni (2026). A Stochastic electric vehicle routing problem under uncertain energy consumption. Transportation Research Part C: Emerging Technologies 183, 105480. DOI: https://doi.org/10.1016/j.trc.2025.105480

• A. Gobbi, D. Manerba, F. Vocaturo (2026). Incorporating stochastic optional pickup demand in routing operations with divisible services for hub-and-spoke e-commerce returns management systems. Omega 141, 103510. DOI: https://doi.org/10.1016/j.omega.2025.103510 

• M. Bierlaire, E. Fadda, L. Fotio Tiotsop, D. Manerba (2026). An exact scenario-independent deterministic equivalent form of stochastic programs embedding Multivariate Extreme Value discrete choice problems. Omega 142, 103514. DOI: https://doi.org/10.1016/j.omega.2026.103514

• I. Seyedi, A. Candelieri, E. Messina, F. Archetti (accepted, in press). Structural vulnerability assessment in urban transport networks: a network-wide geometric approach using Gromov–Wasserstein. Public Transport.

Conference proceedings/Book chapters:

• M. Bierlaire, E. Fadda, L. Fotio Tiotsop, D. Manerba (2022). A chance-constraint approach for optimizing social engagement-based services. Proceedings of the 17th Conference on Computer Science and Intelligence Systems (FedCSIS), pp. 301-304. Sofia, Bulgaria. DOI: https://doi.org/10.15439/2022F235

• E. Fersini, S. Mottadelli, M. Carbonera, E. Messina (2022). Deep Attributed Graph Embeddings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and in Bioinformatics), 13408 LNAI, pp. 181-192. DOI: https://doi.org/10.1007/978-3-031-13448-7_15

• M. Carbonera, M. Ciavotta, E. Messina (2023). Driving into Uncertainty: An Adversarial Generative Approach for Multivariate Scenario Generation. Proceedings of the IEEE International Conference on Big Data (BigData), pp. 2578-2587. DOI: http://dx.doi.org/10.1109/BigData59044.2023.10386128

• S. Fiorini, S. Coniglio, M. Ciavotta, E. Messina (2023). SigMaNet: One Laplacian to Rule Them All. Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37. pp. 7568–7576. DOI: https://doi.org/10.48550/arXiv.2205.13459

• R. De Leone, F. Maggioni, A. Spinelli (2024). A Multiclass Robust Twin Parametric Margin Support Vector Machine with an Application to Vehicles Emissions. In: Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P.M., Umeton, R. (eds) Machine Learning, Optimization, and Data Science (LOD 2023). Lecture Notes in Computer Science, vol 14506. Springer, Cham. DOI: https://doi.org/10.1007/978-3-031-53966-4_22 

• F. Maggioni, A. Spinelli (2024). Vehicles Smog Rating Classification using a New Robust Support Vector Machine Approach. In: Optimization in Green Sustainability and Ecological Transition, AIRO Springer Series, ch. 19. DOI: https://doi.org/10.1007/978-3-031-47686-0_19 

• D. Bezzi, O. Jabali, F. Maggioni (2024). A Threshold Recourse Policy for the Electric Vehicle Routing Problem with Stochastic Energy Consumption. In: Optimization in Green Sustainability and Ecological Transition, AIRO Springer Series, ch. 20. DOI: https://doi.org/10.1007/978-3-031-47686-0_20

• A. Candelieri, X. Chou, F.A. Archetti, E. Messina (2024). Generating Informative Scenarios via Active Learning. AIRO Springer Series, 12, pp. 299-310. DOI: https://doi.org/10.1007/978-3-031-47686-0_27

• S. Fiorini, S. Coniglio, M. Ciavotta, E. Messina (2024). Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs. Proceedings of the 38th AAAI Conference on Artificial Intelligence 38(11), 12006-12015. DOI: https://doi.org/10.1609/aaai.v38i11.29088

• F. Maggioni, S.W. Wallace (2025). Stochastic optimization models for bike sharing systems. Encyclopedia in Operations Management, 978-0-443-28993-4 B978-0-443-28993-4.00164-5

• R. Zanotti, D. Manerba, R. Mansini (2025). The price of customer presence in Attended Home Delivery with Customer Availability Profiles. In: Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS), M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, vol. 43, pp. 625-634. DOI: http://dx.doi.org/10.15439/2025F1656 

• X. Chou, E. Messina, S.W. Wallace (2025). Solving Two-Stage Stochastic Programming Problems via Machine Learning. In: Proceedings of the LOD 2024 conference. Lecture Notes in Computer Science, 15508 LNCS, pp. 1-12. DOI: http://dx.doi.org/10.1007/978-3-031-82481-4_1  

Articles submitted/under review for publication:

• G. Micheli, L. Escudero, F. Maggioni, G. Bayraksan. Multi-horizon optimization for domestic renewable energy system design under uncertainty (international journal)

• R. Cavagnini, D. Faccini, F. Maggioni.  Optimization Driven Monotonic Bounds for Stochastic Programs (international journal)

• P. Beatrici, S. Birolini, F. Maggioni, P. Malighetti. A two-stage stochastic programming approach for a mixed fleet sizing and vehicle routing problem with stochastic demand (international journal)

• D. Manerba, R. Mansini, S.U. Ngueveu, R. Zanotti. A Piecewise Linear Bounding Approach for the Continuous Pollution Routing Problem (international journal)

• D. Manerba, R. Mansini, R. Zanotti. Heuristic solution of large-scale Attended Home Delivery problems with Customer Availability Profiles and multiple recovery options (international journal)

• M.H.A. Sarhamami, I. Seyedi, E. Messina. Designing a Sustainable Closed-Loop Supply Chain Network for Canola: Integrating Waste Management and Cost Optimization  (international journal)

• E. Messina, I. Seyedy. Hybrid Optimization Framework for Closed-Loop Supply Chains: Embedding Neural Networks in Two-Stage Stochastic Programming (international journal)

• H. Zhang, G. Sormani, A. King, F. Maggioni, E. Messina. Neural networks for multi-horizon stochastic programming (international journal)

• X. Chou, L. Di Marco, E. Messina. Scalable Solution of the Stochastic Multi-path Traveling Salesman Problem via Neural Networks (international journal)