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Linshan Ding
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2020 – today
- 2025
[j7]Linshan Ding
, Dan Luo
, Mudassar Rauf
, Lei Yue
:
Deep reinforcement learning for data-driven scheduling in multi-variety and small-batch flexible job shops: Integrating fluid models for enhanced optimization. Comput. Ind. Eng. 208: 111342 (2025)
[j6]Lei Yue
, Jietao Huang, Linshan Ding, Xiwen Cai, Yanming Sun, Tao Zou:
Integrated lot-sizing and scheduling for parallel mixed-model automotive production lines with transportation resource constraints. J. Ind. Inf. Integr. 48: 100945 (2025)
[j5]Linshan Ding, Dan Luo
, Mudassar Rauf, Lei Yue
, Leilei Meng
:
A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm. Swarm Evol. Comput. 94: 101907 (2025)
[j4]Dan Luo
, Zailin Guan
, Linshan Ding
, Weikang Fang, Haiping Zhu
:
A Data-Driven Methodology for Hierarchical Production Planning with LSTM-Q Network-Based Demand Forecast. Symmetry 17(5): 655 (2025)- 2024
[j3]Linshan Ding, Zailin Guan, Mudassar Rauf
, Lei Yue:
Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling. Swarm Evol. Comput. 87: 101550 (2024)
[j2]Lei Yue, Kai Peng
, Linshan Ding, Jabir Mumtaz
, Libin Lin, Tao Zou:
Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems. Swarm Evol. Comput. 90: 101660 (2024)
[j1]Linshan Ding
, Zailin Guan, Dan Luo
, Mudassar Rauf
, Weikang Fang
:
An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals. Symmetry 16(6): 641 (2024)- 2021
[c1]Linshan Ding, Zailin Guan, Zhengmin Zhang:
A Fast and Efficient Fluid Relaxation Algorithm for Large-Scale Re-entrant Flexible Job Shop Scheduling. APMS (5) 2021: 396-404
Coauthor Index

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last updated on 2025-11-16 23:58 CET by the dblp team
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