Improved meta-heuristics with Q-learning for solving distributed assembly permutation flowshop scheduling problems
This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …
which is of great significance in practical manufacturing systems. We aim to sequence …
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
ZQ Zhang, FC Wu, B Qian, R Hu, L Wang… - Expert Systems with …, 2023 - Elsevier
With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …
distributed manufacturing and scheduling systems that consider environmental effects have …
A cooperative scatter search with reinforcement learning mechanism for the distributed permutation flowshop scheduling problem with sequence-dependent setup …
F Zhao, G Zhou, L Wang - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
The integration of reinforcement learning technology into meta-heuristic algorithms to
address complex combinatorial optimization problems has attracted much attention in recent …
address complex combinatorial optimization problems has attracted much attention in recent …
An estimation of distribution algorithm-based hyper-heuristic for the distributed assembly mixed no-idle permutation flowshop scheduling problem
F Zhao, B Zhu, L Wang - IEEE Transactions on Systems, Man …, 2023 - ieeexplore.ieee.org
The distributed assembly mixed no-idle permutation flowshop scheduling problem
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance
Y Jia, Q Yan, H Wang - Expert Systems with Applications, 2023 - Elsevier
The distributed assembly flow shop scheduling (DAFS) problem has received much
attention in the last decade, and a variety of metaheuristic algorithms have been developed …
attention in the last decade, and a variety of metaheuristic algorithms have been developed …
Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories
W Shao, Z Shao, D Pi - Applied Soft Computing, 2022 - Elsevier
Heterogeneous multi-factories in different regions bring a challenge to managers in
distributed production scheduling. This paper studies a distributed flow shop scheduling …
distributed production scheduling. This paper studies a distributed flow shop scheduling …
Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem
ZQ Zhang, B Qian, R Hu, JB Yang - Applied Soft Computing, 2023 - Elsevier
Distributed shop scheduling problems (DSSPs) have attracted increasing interest in recent
years due to the technical trends of smart manufacturing and Industry 4.0. The distributed …
years due to the technical trends of smart manufacturing and Industry 4.0. The distributed …
A two-phase evolutionary algorithm for multi-objective distributed assembly permutation flowshop scheduling problem
In recent years, multi-objective optimization problems have received extensive attention.
This paper proposes a two-phase evolutionary algorithm (TEA) to solve the multi-objective …
This paper proposes a two-phase evolutionary algorithm (TEA) to solve the multi-objective …
A DQN-based memetic algorithm for energy-efficient job shop scheduling problem with integrated limited AGVs
Y Yao, X Li, L Gao - Swarm and Evolutionary Computation, 2024 - Elsevier
AGVs have gained significant popularity in various industries. However, the existing
literature rarely considers the integrated scheduling of production and logistics on the …
literature rarely considers the integrated scheduling of production and logistics on the …
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem
This paper addresses a serial distributed permutation flowshop scheduling problem
(SDPFSP) inspired by a printed circuit board assembly process that contains two production …
(SDPFSP) inspired by a printed circuit board assembly process that contains two production …