Linshan Ding

According to our database, Linshan Ding authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

A Data-Driven Methodology for Hierarchical Production Planning with LSTM-Q Network-Based Demand Forecast.

Dan Luo, Zailin Guan, Linshan Ding, Weikang Fang, Haiping Zhu

Symmetry, 2025

A novel deep self-learning method for flexible job-shop scheduling problems with multiplicity: Deep reinforcement learning assisted the fluid master-apprentice evolutionary algorithm.

Linshan Ding, Dan Luo, Mudassar Rauf, Lei Yue, Leilei Meng

Swarm Evol. Comput., 2025

Integrated lot-sizing and scheduling for parallel mixed-model automotive production lines with transportation resource constraints.

Lei Yue, Jietao Huang, Linshan Ding, Xiwen Cai, Yanming Sun, Tao Zou

J. Ind. Inf. Integr., 2025

Deep reinforcement learning for data-driven scheduling in multi-variety and small-batch flexible job shops: Integrating fluid models for enhanced optimization.

Linshan Ding, Dan Luo, Mudassar Rauf, Lei Yue

Comput. Ind. Eng., 2025

2024

An Adaptive Search Algorithm for Multiplicity Dynamic Flexible Job Shop Scheduling with New Order Arrivals.

Linshan Ding, Zailin Guan, Dan Luo, Mudassar Rauf, Weikang Fang

Symmetry, June, 2024

Two-stage double deep Q-network algorithm considering external non-dominant set for multi-objective dynamic flexible job shop scheduling problems.

Lei Yue, Kai Peng, Linshan Ding, Jabir Mumtaz, Libin Lin, Tao Zou

Swarm Evol. Comput., 2024

Multi-policy deep reinforcement learning for multi-objective multiplicity flexible job shop scheduling.

Linshan Ding, Zailin Guan, Mudassar Rauf, Lei Yue

Swarm Evol. Comput., 2024

2021

A Fast and Efficient Fluid Relaxation Algorithm for Large-Scale Re-entrant Flexible Job Shop Scheduling.

Linshan Ding, Zailin Guan, Zhengmin Zhang

Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021