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Papers disponibili

  1. Al-Shihabi, S., & AlDurgam, M. M. (2020). The contractor time–cost–credit trade-off problem: integer programming model, heuristic solution, and business insights. International Transactions in Operational Research, 27(6), 2841-2877.
  2. Hochbaum, D. S., Rao, X., & Sauppe, J. (2022). Network flow methods for the minimum covariate imbalance problem. European Journal of Operational Research, 300(3), 827-836.
  3. Zhang, S., Hua, L., & Yu, B. (2022). Peak-easing strategies for urban subway operations in the context of COVID-19 epidemic. Transportation Research Part E: Logistics and Transportation Review, 102724.
  4. Brekkĺ, I., Randřy, S., Fagerholt, K., Thun, K., & Vadseth, S. T. (2022). The Fish Feed Production Routing Problem. Computers & Operations Research, 144, 105806.
  5. Fontaine, P. (2022). The vehicle routing problem with load-dependent travel times for cargo bicycles. European Journal of Operational Research, 300(3), 1005-1016.
  6. Ramos, N., de Rezende, P. J., & de Souza, C. C. (2022). Optimal area polygonization problems: Exact solutions through geometric duality. Computers & Operations Research, 105842.
  7. Xie, L., Thieme, N., Krenzler, R., & Li, H. (2021). Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems. European Journal of Operational Research, 288(1), 80-97.
  8. Jamili, N., van den Berg, P. L., & de Koster, R. (2022). Quantifying the impact of sharing resources in a collaborative warehouse. European Journal of Operational Research, 302(2), 518-519.
  9. Xu, C., Chang, W., & Liu, W. (2022). Data-driven decision model based on local two-stage weighted ensemble learning. Annals of Operations Research, 1-34.
  10. dos Santos, A. G., Viana, A., & Pedroso, J. P. (2022). 2-echelon lastmile delivery with lockers and occasional couriers. Transportation Research Part E: Logistics and Transportation Review, 162, 102714.
  11. Li, X., Huang, Y. H., Fang, S. C., & Zhang, Y. (2020). An alternative efficient representation for the project portfolio selection problem. European Journal of Operational Research, 281(1), 100-113.
  12. Pottel, S., & Goel, A. (2022). Scheduling activities with time-dependent durations and resource consumptions. European Journal of Operational Research, 301(2), 445-457.
  13. Mancini, S., Triki, C., & Piya, S. (2022). Optimal selection of touristic packages based on user preferences during sports mega-events. European Journal of Operational Research, 302(3), 819-830.
  14. Pina-Pardo, J. C., Silva, D. F., & Smith, A. E. (2021). The traveling salesman problem with release dates and drone resupply. Computers & Operations Research, 129, 105170.
  15. Gandra, V. S., Çalik, H., Toffolo, T. A., Carvalho, M. A. M., & Berghe, G. V. (2022). The vessel swap-body routing problem. European Journal of Operational Research, 303(1), 354-369.
  16. Alonso, M. T., Martinez-Sykora, A., Alvarez-Valdes, R., & Parreńo, F. (2022). The pallet-loading vehicle routing problem with stability constraints. European Journal of Operational Research, 302(3), 860-873.
  17. Alozie, G. U., Arulselvan, A., Akartunal?, K., & Pasiliao Jr, E. L. (2021). Efficient methods for the distance-based critical node detection problem in complex networks. Computers & Operations Research, 131, 105254.
  18. Dell'Amico, M., Montemanni, R., & Novellani, S. (2022). Exact models for the flying sidekick traveling salesman problem. International Transactions in Operational Research, 29(3), 1360-1393.
  19. Salama, M. R., & Srinivas, S. (2022). Collaborative truck multi-drone routing and scheduling problem: Package delivery with flexible launch and recovery sites. Transportation Research Part E: Logistics and Transportation Review, 164, 102788.
  20. Bacci, T., Mattia, S., & Ventura, P. (2020). A branch-and-cut algorithm for the restricted block relocation problem. European Journal of Operational Research, 287(2), 452-459.
  21. Silva, A., Coelho, L. C., Darvish, M., & Renaud, J. (2022). A cutting plane method and a parallel algorithm for packing rectangles in a circular container. European Journal of Operational Research, 303(1), 114-128.
  22. Salehipour, A. (2022). An Optimization Method for Characterizing Two Groups of Data. International Transactions in Operational Research.
  23. Ahmadian, M. M., & Salehipour, A. (2022). Heuristics for flights arrival scheduling at airports. International Transactions in Operational Research, 29(4), 2316-2345.
  24. Akhlaghi, V. E., & Campbell, A. M. (2022). The two-echelon island fuel distribution problem. European Journal of Operational Research, 302(3), 999-1017.
  25. Tönissen, D. D., & Schlicher, L. (2021). Using 3D-printing in disaster response: The two-stage stochastic 3D-printing knapsack problem. Computers & Operations Research, 133, 105356.
  26. Mancini, S., Gansterer, M., & Hartl, R. F. (2021). The collaborative consistent vehicle routing problem with workload balance. European journal of operational research, 293(3), 955-965.
  27. Krutein, K. F., & Goodchild, A. (2022). The isolated community evacuation problem with mixed integer programming. Transportation Research Part E: Logistics and Transportation Review, 161, 102710.
  28. Che, Y., Hu, K., Zhang, Z., & Lim, A. (2021). Machine scheduling with orientation selection and two-dimensional packing for additive manufacturing. Computers & Operations Research, 130, 105245.
  29. Xu, M., Yan, X., & Yin, Y. (2022). Truck routing and platooning optimization considering drivers’ mandatory breaks. Transportation Research Part C: Emerging Technologies, 143, 103809.
  30. Demeulemeester, T., Goossens, D., Hermans, B., & Leus, R. (2023). A pessimist’s approach to one-sided matching. European Journal of Operational Research, 305(3), 1087-1099.
  31. Karsu, Ö., & Solyalı, O. (2023). A new formulation and an effective matheuristic for the airport gate assignment problem. Computers & Operations Research, 151, 106073.
  32. Morgenroth, C., Boysen, N., Schwerdfeger, S., & Weidinger, F. (2021). Scheduling taxi services for a team of car relocators. Computers & Operations Research, 128, 105188.
  33. Pierini, L. M., & Poldi, K. C. (2023). Optimization of the cutting process integrated to the lot sizing in multi-plant paper production industries. Computers & Operations Research, 153, 106157.
  34. Kyriakakis, N. A., Marinaki, M., Matsatsinis, N., & Marinakis, Y. (2022). A cumulative unmanned aerial vehicle routing problem approach for humanitarian coverage path planning. European Journal of Operational Research, 300(3), 992-1004.
  35. Luo, Y., Golden, B., Poikonen, S., Wasil, E., & Zhang, R. (2023). The paired mail carrier problem. European Journal of Operational Research, 308(2), 801-817.
  36. Bazirha, M., Kadrani, A., & Benmansour, R. (2023). Stochastic home health care routing and scheduling problem with multiple synchronized services. Annals of Operations Research, 320(2), 573-601.
  37. Zhang, Y., Lin, W. H., Huang, M., & Hu, X. (2021). Multi-warehouse package consolidation for split orders in online retailing. European Journal of Operational Research, 289(3), 1040-1055.
  38. Luo, Y., Golden, B., Poikonen, S., & Zhang, R. (2022). A fresh look at the Traveling Salesman Problem with a Center. Computers & Operations Research, 143, 105748.
  39. Xu, Y., Wandelt, S., & Sun, X. (2021). Airline integrated robust scheduling with a variable neighborhood search based heuristic. Transportation Research Part B: Methodological, 149, 181-203.
  40. Dell'Amico, M., Montemanni, R., & Novellani, S. (2023) Pickup and Delivery with Lockers. Transportation Research Part C: Emerging Technologies, 148, 104022.
  41. Baller, R., Fontaine, P., Minner, S., & Lai, Z. (2022). Optimizing automotive inbound logistics: A mixed-integer linear programming approach. Transportation Research Part E: Logistics and Transportation Review, 163, 102734.
  42. Liu, Q., Lin, X., Li, M., Li, L., & He, F. (2023). Coordinated lane-changing scheduling of multilane CAV platoons in heterogeneous scenarios. Transportation Research Part C: Emerging Technologies, 147, 103992.
  43. De, A., Gorton, M., Hubbard, C., & Aditjandra, P. (2022). Optimization model for sustainable food supply chains: An application to Norwegian salmon. Transportation Research Part E: Logistics and Transportation Review, 161, 102723.
  44. Araújo, E. J., Darvish, M., & Renaud, J. (2023). The road train optimization problem with load assignment. Computers & Operations Research, 153, 106184.
  45. Mendes, A. B., & e Alvelos, F. P. (2023). Iterated local search for the placement of wildland fire suppression resources. European Journal of Operational Research, 304(3), 887-900.
  46. Cazzaro, D., Koza, D. F., & Pisinger, D. (2023). Combined layout and cable optimization of offshore wind farms. European Journal of Operational Research, 311(1), 301-315.
  47. Dong, Z. L., Ribeiro, C. C., Xu, F., Zamora, A., Ma, Y., & Jing, K. (2023). Dynamic scheduling of e-sports tournaments. Transportation Research Part E: Logistics and Transportation Review, 169, 102988.
  48. Battaïa, O., Dolgui, A., Guschinsky, N., & Kovalyov, M. Y. (2023). Designing fast-charge urban electric bus services: An Integer Linear Programming model. Transportation Research Part E: Logistics and Transportation Review, 171, 103065.
  49. Zhang, H., Yao, S., Liu, Q., Leng, J., & Wei, L. (2023). Exact approaches for the unconstrained two-dimensional cutting problem with defects. Computers & Operations Research, 106407.
  50. Kloster, K., Moeini, M., Vigo, D., & Wendt, O. (2023). The multiple traveling salesman problem in presence of drone-and robot-supported packet stations. European Journal of Operational Research, 305(2), 630-643.
  51. Biró, P., & Gyetvai, M. (2023). Online voluntary mentoring: Optimising the assignment of students and mentors. European Journal of Operational Research, 307(1), 392-405.
  52. Olmez, O. B., Gultekin, C., Balcik, B., Ekici, A., & Özener, O. Ö. (2022). A variable neighborhood search based matheuristic for a waste cooking oil collection network design problem. European Journal of Operational Research, 302(1), 187-202.
  53. Tran, T. H., Nguyen, T. B. T., Le, H. S. T., & Phung, D. C. (2024). Formulation and solution technique for agricultural waste collection and transport network design. European Journal of Operational Research, 313(3), 1152-1169.
  54. Caselli, G., Delorme, M., Iori, M., & Magni, C. A. (2024). Exact algorithms for a parallel machine scheduling problem with workforce and contiguity constraints. Computers & Operations Research, 163, 106484.
  55. Lyu, Z., & Yu, A. J. (2023). The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation. European Journal of Operational Research, 305(1), 260-270.
  56. Bigler, T., Kammermann, M., & Baumann, P. (2023). A matheuristic for a customer assignment problem in direct marketing. European Journal of Operational Research, 304(2), 689-708.
  57. Fonseca, G. H., Figueiroa, G. B., & Toffolo, T. A. (2024). A fix-and-optimize heuristic for the Unrelated Parallel Machine Scheduling Problem. Computers & Operations Research, 163, 106504.
  58. Morais, R., Bulhőes, T., & Subramanian, A. (2024). Exact and heuristic algorithms for minimizing the makespan on a single machine scheduling problem with sequence-dependent setup times and release dates. European Journal of Operational Research, 315(2), 442-453.
  59. Nguyen, M. A., Dang, G. T. H., Hŕ, M. H., & Pham, M. T. (2022). The min-cost parallel drone scheduling vehicle routing problem. European Journal of Operational Research, 299(3), 910-930.
  60. Weidinger, F., Albiński, S., & Boysen, N. (2023). Matching supply and demand for free-floating car sharing: On the value of optimization. European Journal of Operational Research, 308(3), 1380-1395.
  61. Faria, A. F., de Souza, S. R., & de Sa, E. M. (2021). A mixed-integer linear programming model to solve the Multidimensional Multi-Way Number Partitioning Problem. Computers & Operations Research, 127, 105133.
  62. Ferone, D., Festa, P., & Guerriero, F. (2022). The rainbow steiner tree problem. Computers & Operations Research, 139, 105621.
  63. Weiner, J., Ernst, A. T., Li, X., Sun, Y., & Deb, K. (2021). Solving the maximum edge disjoint path problem using a modified Lagrangian particle swarm optimisation hybrid. European Journal of Operational Research, 293(3), 847-862.
  64. Myung, Y. S., & Yu, Y. M. (2020). Freight transportation network model with bundling option. Transportation Research Part E: Logistics and Transportation Review, 133, 101827.
  65. Campêlo, M., & Figueiredo, T. F. (2021). Integer programming approaches to the multiple team formation problem. Computers & Operations Research, 133, 105354.
  66. Terán-Viadero, P., Alonso-Ayuso, A., & Martín-Campo, F. J. (2024). Mathematical optimisation in the honeycomb cardboard industry: A model for the two-dimensional variable-sized cutting stock problem. European Journal of Operational Research, 319(1), 303-315.
  67. Klein, N., Gnägi, M., & Trautmann, N. (2024). Mixed-integer linear programming for project scheduling under various resource constraints. European Journal of Operational Research, 319(1), 79-88.
  68. Hill, A., & Peuker, S. (2024). Expanding students’ social networks via optimized team assignments. Annals of Operations Research, 332(1), 1107-1131.
  69. Lunday, B. J. (2024). The maximal covering location disruption problem. Computers & Operations Research, 169, 106721.
  70. Cohen, I. R., Cohen, I., & Zaks, I. (2023). A theoretical and empirical study of job scheduling in cloud computing environments: the weighted completion time minimization problem with capacitated parallel machines. Annals of Operations Research, 1-24.
  71. Tirkolaee, E. B., Goli, A., Gütmen, S., Weber, G. W., & Szwedzka, K. (2023). A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms. Annals of Operations Research, 324(1), 189-214.
  72. Grus, J., & Hanzálek, Z. (2024). Automated placement of analog integrated circuits using priority-based constructive heuristic. Computers & Operations Research, 167, 106643.
  73. Pan, X., & Guo, S. (2023). Dual-objective optimization of a green closed-loop supply chain in steel industry considering quantity discount. Annals of Operations Research, 1-27.
  74. Cui, S., Gao, K., Yu, B., Ma, Z., & Najafi, A. (2023). Joint optimal vehicle and recharging scheduling for mixed bus fleets under limited chargers. Transportation Research Part E: Logistics and Transportation Review, 180, 103335.
  75. Zhu, W., Hu, X., Pei, J., & Pardalos, P. M. (2024). Minimizing the total travel distance for the locker-based drone delivery: A branch-and-cut-based method. Transportation Research Part B: Methodological, 184, 102950.
  76. Sun, Z., Benlic, U., Li, M., & Wu, Q. (2022). Reinforcement learning based tabu search for the minimum load coloring problem. Computers & Operations Research, 143, 105745.
  77. Senna, F., Coelho, L. C., Morabito, R., & Munari, P. (2024). An exact method for a last-mile delivery routing problem with multiple deliverymen. European Journal of Operational Research, 317(2), 550-562.
  78. Tamke, F., & Buscher, U. (2023). The vehicle routing problem with drones and drone speed selection. Computers & Operations Research, 152, 106112.
  79. Tang, L., D’Ariano, A., Xu, X., Li, Y., Ding, X., & Samŕ, M. (2021). Scheduling local and express trains in suburban rail transit lines: Mixed–integer nonlinear programming and adaptive genetic algorithm. Computers & Operations Research, 135, 105436.
  80. Akhundov, N., & Ostrowski, J. (2024). Exploiting symmetry for the job sequencing and tool switching problem. European Journal of Operational Research, 316(3), 976-987.
  81. de Weert, Y. R., Gkiotsalitis, K., & van Berkum, E. C. (2024). Improving the scheduling of railway maintenance projects by minimizing passenger delays subject to event requests of railway operators. Computers & Operations Research, 165, 106580.
  82. Boccia, M., Mancuso, A., Masone, A., & Sterle, C. (2024). Exact and heuristic approaches for the truck–drone team logistics problem. Transportation Research Part C: Emerging Technologies, 165, 104691.
  83. Hao, Y., Chen, Z., Sun, X., & Tong, L. (2025). Planning of truck platooning for road-network capacitated vehicle routing problem. Transportation Research Part E: Logistics and Transportation Review, 194, 103898.
  84. Hyder, J., & Hassini, E. (2025). Optimizing warehouse space allocation to maximize profit in the postal industry. Transportation Research Part E: Logistics and Transportation Review, 195, 103924.
  85. Zaidi, I., Oulamara, A., Idoumghar, L., & Basset, M. (2024). Minimizing grid capacity in preemptive electric vehicle charging orchestration: Complexity, exact and heuristic approaches. European Journal of Operational Research, 312(1), 22-37.

Papers giŕ assegnati (non piů disponibili)

  1. Shiri, D., Akbari, V., & Tozan, H. (2023). Online optimisation for ambulance routing in disaster response with partial or no information on victim conditions. Computers & Operations Research, 106314.
  2. Kurowski, K., Pecyna, T., Slysz, M., Różycki, R., Waligóra, G., & Węglarz, J. (2023). Application of quantum approximate optimization algorithm to job shop scheduling problem. European Journal of Operational Research, 310(2), 518-528.
  3. Sun, Y., Wang, S., Shen, Y., Li, X., Ernst, A. T., & Kirley, M. (2022). Boosting ant colony optimization via solution prediction and machine learning. Computers & Operations Research, 143, 105769.
  4. Yin, J., D’Ariano, A., Wang, Y., Yang, L., & Tang, T. (2021). Timetable coordination in a rail transit network with time-dependent passenger demand. European Journal of Operational Research, 295(1), 183-202.
  5. Monaci, M., Pike-Burke, C., & Santini, A. (2022). Exact algorithms for the 0–1 Time-bomb Knapsack Problem. Computers & Operations Research, 145, 105848.
  6. Bhaya, A., & Kaszkurewicz, E. (2022). The generalized cash balance problem: optimization-based one step ahead optimal control. International Transactions in Operational Research.
  7. Hughes, M. S., Lunday, B. J., Weir, J. D., & Hopkinson, K. M. (2021). The multiple shortest path problem with path deconfliction. European Journal of Operational Research, 292(3), 818-829.
  8. Kabadurmus, O., Kazançoglu, Y., Yüksel, D., & Pala, M. Ö. (2022). A circular food supply chain network model to reduce food waste. Annals of Operations Research, 1-31.
  9. Poikonen, S., & Golden, B. (2020). Multi-visit drone routing problem. Computers & Operations Research, 113, 104802.
  10. Zheng, J., Hong, Y., Xu, W., Li, W., & Chen, Y. (2022). An effective iterated two-stage heuristic algorithm for the multiple Traveling Salesmen Problem. Computers & Operations Research, 143, 105772.
  11. Kramer, R., Cordeau, J. F., & Iori, M. (2019). Rich vehicle routing with auxiliary depots and anticipated deliveries: An application to pharmaceutical distribution. Transportation Research Part E: Logistics and Transportation Review, 129, 162-174.
  12. Keskin, M., Laporte, G., & Çatay, B. (2019). Electric vehicle routing problem with time-dependent waiting times at recharging stations. Computers & Operations Research, 107, 77-94.
  13. Zhang, C., Li, Y., Cao, J., & Wen, X. (2022). On the mass COVID-19 vaccination scheduling problem. Computers & Operations Research, 141, 105704.
  14. Archetti, C., Feillet, D., Mor, A., & Speranza, M. G. (2020). Dynamic traveling salesman problem with stochastic release dates. European Journal of Operational Research, 280(3), 832-844.
  15. Moin, A., Nuzzo, P., Sangiovanni-Vincentelli, A. L., & Rabaey, J. M. (2017, June). Optimized design of a Human Intranet network. In Proceedings of the 54th Annual Design Automation Conference 2017 (pp. 1-6).
  16. Belenson, S. M., & Kapur, K. C. (1973). An algorithm for solving multicriterion linear programming problems with examples. Journal of the Operational Research Society, 24(1), 65-77.
  17. Stringer, J. (1967). Operational research for “multi-organizations”. Journal of the Operational Research Society, 18(2), 105-120.
  18. Macrina, G., Pugliese, L. D. P., Guerriero, F., & Laporte, G. (2019). The green mixed fleet vehicle routing problem with partial battery recharging and time windows. Computers & Operations Research, 101, 183-199.
  19. Lotker, Z., Patt-Shamir, B., & Rawitz, D. (2008). Rent, lease or buy: Randomized algorithms for multislope ski rental. arXiv preprint arXiv:0802.2832.
  20. Inuiguchi, M., & Sakawa, M. (1995). Minimax regret solution to linear programming problems with an interval objective function. European Journal of Operational Research, 86(3), 526-536.
  21. Gobbi, A., Manerba, D., Mansini, R., & Zanotti, R. (2019). A kernel search for a patient satisfaction-oriented nurse routing problem with time-windows. IFAC-PapersOnLine, 52(13), 1669-1674
  22. Witteman, M., Deng, Q., & Santos, B. F. (2021). A bin packing approach to solve the aircraft maintenance task allocation problem. European Journal of Operational Research, 294(1), 365-376.


Informazioni aggiornate al: 30.4.2025 alle ore 06:56