Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc +1 more source
Reinforcement learning based multi objective task scheduling for energy efficient and cost effective cloud edge computing. [PDF]
Zhang W, Ou H.
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Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]
Zhang M, Zhou M, Zhang L, Zhang Z.
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Research on low carbon welding scheduling based on production process. [PDF]
Meng RH +6 more
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Exploring the Landscape of Operating Room Scheduling: A Bibliometric Analysis of Recent Advancements and Future Prospects. [PDF]
Amin MA +9 more
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Improved Q-learning Algorithm to Solve the Permutation Flow Shop Scheduling Problem
Zifeng Xuan, Yunfei Liu, Xinxin Peng
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An Optimal Vehicle-Scheduling Model for Signal-Free Intersections Considering Bus Priority in a Connected and Automated Vehicle Environment. [PDF]
Wang D, Jiang S, Zheng G, Shi X.
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A Novel Traffic Scheduling Algorithm for Multi-CQF Using Mixed Integer Programming and Variable Neighborhood Search Genetic Algorithm in Time-Sensitive Networking. [PDF]
Wang C, Lin Z, Zhao Y, Hu F, Huan Z.
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The waiting game: determinants and effects of OPD service delays in a Tertiary Health Facility. [PDF]
Elemoah D +4 more
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A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems. [PDF]
Jia Y, Zhou Y, Fu Y.
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