| An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times JP Huang, QK Pan, L Gao Swarm and Evolutionary Computation 59, 100742, 2020 | 123 | 2020 |
| Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times JP Huang, QK Pan, ZH Miao, L Gao Engineering Applications of Artificial Intelligence 97, 104016, 2021 | 120 | 2021 |
| An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem YY Huang, QK Pan, JP Huang, PN Suganthan, L Gao Computers & Industrial Engineering 152, 107021, 2021 | 113 | 2021 |
| A novel priority dispatch rule generation method based on graph neural network and reinforcement learning for distributed job-shop scheduling JP Huang, L Gao, XY Li, CJ Zhang Journal of Manufacturing Systems 69, 119-134, 2023 | 27 | 2023 |
| An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem JP Huang, L Gao, XY Li Expert Systems with Applications 238, 121756, 2024 | 22 | 2024 |
| A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times L Sun, Q Pan, XL Jing, JP Huang Memetic Computing 13 (2), 149-167, 2021 | 22 | 2021 |
| A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals JP Huang, L Gao, XY Li, CJ Zhang Computers & Industrial Engineering 185, 109650, 2023 | 21 | 2023 |
| A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times Y Yu, FQ Zhang, GD Yang, Y Wang, JP Huang, YY Han Swarm and Evolutionary Computation 75, 101179, 2022 | 17 | 2022 |
| Acceleration-based artificial bee colony optimizer for a distributed permutation flowshop scheduling problem with sequence-dependent setup times Y Yu, FQ Zhang, JP Huang Applied Soft Computing 135, 110029, 2023 | 10 | 2023 |
| A hybrid genetic algorithm for the distributed permutation flowshop scheduling problem with sequence-dependent setup times J Huang, Q Pan, Q Chen IOP conference series: materials science and engineering 646 (1), 012037, 2019 | 9 | 2019 |
| A Hierarchical Multi-Action Deep Reinforcement Learning Method for Dynamic Distributed Job-Shop Scheduling Problem With Job Arrivals JP Huang, L Gao, XY Li IEEE Transactions on Automation Science and Engineering, 2024 | 5 | 2024 |
| An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times JP Huang, QK Pan, L Gao, L Wang Applied Soft Computing 112, 107830, 2021 | 4 | 2021 |
| Effective constructive and composite heuristics for grouping printed circuit boards in the electronic assembly industry JP Huang, QK Pan, PN Suganthan Engineering Optimization 54 (10), 1758-1772, 2022 | 3 | 2022 |
| An iterated local search algorithm for distributed assembly permutation flowshop problem YY Huang, Q Pan, XL Hu, MF Tasgetiren, J Huang 2020 39th Chinese Control Conference (CCC), 1548-1552, 2020 | 2 | 2020 |
| A New Heuristic for PCBs Grouping Problem with Setup Times JP Huang, QK Pan, MF Tasgetiren, YY Huang 2020 39th Chinese Control Conference (CCC), 1495-1500, 2020 | 1 | 2020 |
