b63998f5-e989-48e9-be96-9aff5e967b7420250402051311216wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON COMPUTER RESEARCH2415-15211991-875510.37394/232018http://wseas.org/wseas/cms.action?id=13372110202511020251310.37394/232018.2025.13https://wseas.com/journals/cr/2025.phpNataliaMamedovaBasic Department of Digital Economy, Plekhanov Russian University of Economics, 36, Stremyanny Lane, Moscow, 117997, RUSSIAYuliaKhizhnyakovaDevelopment Department, LAS LLC, 14k1, Murmansk passage, Moscow, 129075, RUSSIAIn this paper, we propose a software implementation to solve the mathematical problem of optimal placement of cargo units on the territory of a multimodal transport and logistics center. Warehouse management in intermodal and multimodal transportation is complicated by the problem of selecting an assortment of cargo in conditions of limited storage space. The solution to this problem should be mathematically correct, automatizable, and scalable, since different types of warehouses and different transport systems are concentrated in the territory of multimodal transport and logistics centers. We propose to apply the genetic algorithm as a mathematical apparatus for solving the above problem and a ready-made software implementation for the optimal placement of cargo units. The algorithm determines the optimal subset of cargo units that can be placed in the warehouse taking into account the weight and value priority constraints of the selected cargo units.42202542202524525823https://wseas.com/journals/cr/2025/a465118-341.pdf10.37394/232018.2025.13.23https://wseas.com/journals/cr/2025/a465118-341.pdf10.1016/j.jer.2023.10.033Sun J., Wang R., Multi-objective optimization of a sustainable two echelon vehicle routing problem with simultaneous pickup and delivery in construction projects, Journal of Engineering Research, In Press, 2023, https://doi.org/10.1016/j.jer.2023.10.033. 10.1016/j.cie.2021.107747Liu W., Zhou Y., Liu W., Qiu J., Xie N., Chang X., Chen J., A hybrid ACS-VTM algorithm for the vehicle routing problem with simultaneous delivery & pickup and realtime traffic condition, Computers & Industrial Engineering, Vol. 162, 107747, 2021, https://doi.org/10.1016/j.cie.2021.107747. 10.1016/j.cor.2023.106467Praxedes R., Bulhões T., Subramanian A., Uchoa E., A unified exact approach for a broad class of vehicle routing problems with simultaneous pickup and delivery, Computers & Operations Research, Vol. 162, 106467, 2024, https://doi.org/10.1016/j.cor.2023.106467. 10.1016/j.swevo.2021.100927Liu S., Tang K., Yao X., Memetic search for vehicle routing with simultaneous pickupdelivery and time windows, Swarm and Evolutionary Computation, Vol. 66, 100927, 2021, https://doi.org/10.1016/j.swevo.2021.10092 7. 10.1016/j.procs.2019.01.112Grabusts P., Musatovs J., Golenkov V., The application of simulated annealing method for optimal route detection between objects, Procedia Computer Science, Vol. 149, pp.95-101, 2019, https://doi.org/10.1016/j.procs.2019.01.112. 10.1016/j.knosys.2024.112160Ergüven E., Polat F., Relative distances approach for multi-traveling salesmen problem, Knowledge-Based Systems, Vol. 300, 112160, 2024, https://doi.org/10.1016/j.knosys.2024.1121. 10.1016/j.engappai.2023.106351Roy A., Maity S., Moon I., Multi-vehicle clustered traveling purchaser problem using a variable-length genetic algorithm, Engineering Applications of Artificial Intelligence, Vol. 123, Part B, 106351, 2023, https://doi.org/10.1016/j.engappai.2023.1063 51. 10.1016/j.tre.2015.02.009Yu Y., Machemehl R.B., Xie Ch., Demandresponsive transit circulator service network design, Transportation Research Part E: Logistics and Transportation Review, Vol. 76, pp.160-175, 2015, https://doi.org/10.1016/j.tre.2015.02.009. 10.1016/s0377-2217(99)00018-1Kerbache L., Smith J.MacG., Multiobjective routing within large scale facilities using open finite queueing networks, European Journal of Operational Research, Vol. 121, Issue 1, pp.105-123, 2000, https://doi.org/10.1016/S0377- 2217(99)00018-1. 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