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NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop scheduling problem: A comparison of different solution strategies., , , , и . Expert Syst. Appl., (2021)A review on reinforcement learning algorithms and applications in supply chain management., , , , , и . Int. J. Prod. Res., 61 (20): 7151-7179 (октября 2023)Deadlock and Collision Handling for Automated Rail-Based Storage and Retrieval Units., , и . WSC, стр. 1591-1601. IEEE, (2019)Design of a Li-Fi Transceiver for Distributed Factory Planning Applications., , , и . APMS (1), том 630 из IFIP Advances in Information and Communication Technology, стр. 188-197. Springer, (2021)Evolving Neural Networks to Solve a Two-Stage Hybrid Flow Shop Scheduling Problem with Family Setup Times., , , и . HICSS, стр. 1-10. ScholarSpace, (2020)Towards Deadlock Handling with Machine Learning in a Simulation-Based Learning Environment., , , , и . WSC, стр. 1485-1496. IEEE, (2022)Simulation-based optimization for solving a hybrid flow shop scheduling problem., , , и . WSC, стр. 2809-2819. IEEE, (2016)From Logistics Process Models to Automated Integration Testing: Proof-of-Concept Using Open-Source Simulation Software., , , и . WSC, стр. 1-11. IEEE, (2021)Optimizing Safety Stock Placement in Large Real-World Automotive Supply Networks Using the Guaranteed-Service Model., , , и . HICSS, стр. 1669-1678. ScholarSpace, (2024)Simulation-based Planning and dimensioning of an Automatic Laundry Storage and Retrieval Unit with Dynamic Storage Location Sizes., , , и . WSC, стр. 2977-2988. IEEE, (2018)