1 | -- | 3 | Ruibin Bai, Zhi-Long Chen, Graham Kendall. Analytics and machine learning in scheduling and routing research |
4 | -- | 30 | Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li 0001, Zheng Lu 0002, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang. Analytics and machine learning in vehicle routing research |
31 | -- | 48 | Dian Huang, Zhaofang Mao, Kan Fang, Lin Chen 0009. Solving the shortest path interdiction problem via reinforcement learning |
49 | -- | 64 | Bruno E. Demantova, Cassius Tadeu Scarpin, Leandro C. Coelho, Maryam Darvish. An improved model and exact algorithm using local branching for the inventory-routing problem with time windows |
65 | -- | 80 | Hongtao Hu 0001, Xurui Yang, Shichang Xiao, Feiyang Wang. Anti-conflict AGV path planning in automated container terminals based on multi-agent reinforcement learning |
81 | -- | 113 | Erfaneh Nikzad, Mahdi Bashiri. A two-stage stochastic programming model for collaborative asset protection routing problem enhanced with machine learning: a learning-based matheuristic algorithm |
114 | -- | 130 | Hamza Heni, S. Arona Diop, Jacques Renaud, Leandro C. Coelho. Measuring fuel consumption in vehicle routing: new estimation models using supervised learning |
131 | -- | 145 | Bing Chen, Ruibin Bai, Jiawei Li 0001, Yueni Liu, Ning Xue, Jianfeng Ren. A multiobjective single bus corridor scheduling using machine learning-based predictive models |
147 | -- | 161 | Jens Heger, Thomas Voss. k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning |
162 | -- | 182 | Namyong Kim, Stéphane R. A. Barde, Kiwook Bae, Hayong Shin. Learning per-machine linear dispatching rule for heterogeneous multi-machines control |
183 | -- | 197 | Elad Shufan, Tal Grinshpoun, Ehud Ikar, Hagai Ilani. Reentrant flow shop with identical jobs and makespan criterion |
198 | -- | 218 | Hongbo Li, Xianchao Zhang, Jinshuai Sun, Xuebing Dong. Dynamic resource levelling in projects under uncertainty |
219 | -- | 237 | Mahmoud Efatmaneshnik, Shraga Shoval. Stochastic modelling of process scheduling for reduced rework cost and scrap |
238 | -- | 257 | Guo-qiang Fan, Jun-qiang Wang, Zhixin Liu 0004. Two-agent scheduling on mixed batch machines to minimise the total weighted makespan |
258 | -- | 281 | Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu. Supply chain-oriented permutation flowshop scheduling considering flexible assembly and setup times |
282 | -- | 301 | Liang Tang, Huanying Han, Zhen Tan, Ke Jing. Centralized collaborative production scheduling with evaluation of a practical order-merging strategy |
302 | -- | 319 | Md Shajalal, Petr Hájek 0002, Mohammad Zoynul Abedin. Product backorder prediction using deep neural network on imbalanced data |
320 | -- | 335 | Xueqin Lu, Chenxin Wu, Xuhua Yang 0001, Minxia Zhang, Yujun Zheng 0001. Adapted water wave optimization for integrated bank customer service representative scheduling |
336 | -- | 361 | Ming Chen, Xuan Huang, Hongyu Chen, Xuemei Su, Jasmine Yur-Austin. Data driven course scheduling to ensure timely graduation |