The following publications are possibly variants of this publication:
- An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublotsBiao Zhang 0003, Quan-ke Pan, Leilei Meng, Chao Lu, Jianhui Mou, Junqing Li 0001. kbs, 238:107819, 2022. [doi]
- A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublotsBiao Zhang 0003, Quan-ke Pan, Leilei Meng, Xinli Zhang, Xu-Chu Jiang. ijpr, 61(3):1013-1038, February 2023. [doi]
- A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublotsBiao Zhang 0003, Quan-ke Pan, Leilei Meng, Xin-Li Zhang, Yaping Ren, Jun-qing Li, Xu-Chu Jiang. asc, 106:107305, 2021. [doi]
- A novel collaborative iterative greedy algorithm for hybrid flowshop scheduling problem with batch processing machines and variable sublotsChengshuai Li, Yuyan Han, Biao Zhang 0003, Yuting Wang 0003, Junqing Li, Kaizhou Gao. ijpr, 62(11):4076-4096, 2024. [doi]
- A multiobjective evolutionary algorithm based on decomposition for hybrid flowshop green scheduling problemBiao Zhang 0003, Quan-ke Pan, Liang Gao 0001, Xinyu Li, Leilei Meng, Kunkun Peng. candie, 136:325-344, 2019. [doi]
- Two-stage hybrid flowshop scheduling with simultaneous processing machinesBailin Wang, Kai Huang 0003, Tieke Li. scheduling, 21(4):387-411, 2018. [doi]