A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints DOI Creative Commons
Xiaoting Dong, Guangxi Wan, Peng Zeng

et al.

Complex & Intelligent Systems, Journal Year: 2025, Volume and Issue: 11(5)

Published: March 17, 2025

Language: Английский

Dynamic quadratic decomposition-based evolutionary algorithm for multi-objective fuzzy flexible jobshop scheduling DOI

XuWei Zhang,

Ziyan Zhao, Shujin Qin

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 94, P. 101884 - 101884

Published: Feb. 19, 2025

Language: Английский

Citations

0
Deep reinforcement learning-based memetic algorithm for solving dynamic distributed green flexible job shop scheduling problem with finite transportation resources DOI
Xinxin Zhou, Feimeng Wang, Bin Wu

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 94, P. 101885 - 101885

Published: Feb. 21, 2025

Language: Английский

Citations

0
A Deep Reinforcement Learning-Based Evolutionary Algorithm for Distributed Heterogeneous Green Hybrid Flowshop Scheduling DOI Open Access

Hua Xu,

Lan Huang,

Juntai Tao

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(3), P. 728 - 728

Published: March 3, 2025

Due to increasing energy consumption, green scheduling in the manufacturing industry has attracted great attention. In distributed involving heterogeneous plants, accounting for complex work sequences and consumption poses a major challenge. To address hybrid flowshop (DHGHFSP) while optimising total weighted delay (TWD) (TEC), deep reinforcement learning-based evolutionary algorithm (DRLBEA) is proposed this article. DRLBEA, problem-based heuristic initialization with random-sized population designed generate desirable initial solution. A bi-population global search local used obtain elite archive. Moreover, distributional Deep Q-Network (DQN) trained select best strategy. Experimental results on 20 instances show 9.8% increase HV mean value 35.6% IGD over state-of-the-art method. The effectiveness efficiency of DRLBEA solving DHGHFSP.

Language: Английский

Citations

0
Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network DOI
Minghai Yuan, S. Lu, Liang Zheng

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: unknown, P. 101902 - 101902

Published: March 1, 2025

Language: Английский

Citations

0
A heuristic-assisted deep reinforcement learning algorithm for flexible job shop scheduling with transport constraints DOI Creative Commons
Xiaoting Dong, Guangxi Wan, Peng Zeng

et al.

Complex & Intelligent Systems, Journal Year: 2025, Volume and Issue: 11(5)

Published: March 17, 2025

Language: Английский

Citations

0