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Jiang-Ping Huang
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2020 – today
- 2024
- [j9]Jiang-Ping Huang, Liang Gao, Xinyu Li:
An end-to-end deep reinforcement learning method based on graph neural network for distributed job-shop scheduling problem. Expert Syst. Appl. 238(Part A): 121756 (2024) - 2023
- [j8]Yang Yu, Feng-Qi Zhang, Jiang-Ping Huang:
Acceleration-based artificial bee colony optimizer for a distributed permutation flowshop scheduling problem with sequence-dependent setup times. Appl. Soft Comput. 135: 110029 (2023) - [j7]Jiang-Ping Huang, Liang Gao, Xinyu Li, Chunjiang Zhang:
A cooperative hierarchical deep reinforcement learning based multi-agent method for distributed job shop scheduling problem with random job arrivals. Comput. Ind. Eng. 185: 109650 (2023) - 2022
- [j6]Yang Yu, Feng-Qi Zhang, Guo-Dong Yang, Yu Wang, Jiang-Ping Huang, Yu-Yan Han:
A discrete artificial bee colony method based on variable neighborhood structures for the distributed permutation flowshop problem with sequence-dependent setup times. Swarm Evol. Comput. 75: 101179 (2022) - 2021
- [j5]Jiang-Ping Huang, Quan-Ke Pan, Liang Gao, Ling Wang:
An effective iterated greedy algorithm for PCBs grouping problem to minimize setup times. Appl. Soft Comput. 112: 107830 (2021) - [j4]Ying-Ying Huang, Quan-Ke Pan, Jiang-Ping Huang, Ponnuthurai N. Suganthan, Liang Gao:
An improved iterated greedy algorithm for the distributed assembly permutation flowshop scheduling problem. Comput. Ind. Eng. 152: 107021 (2021) - [j3]Jiang-Ping Huang, Quan-Ke Pan, Zhong-Hua Miao, Liang Gao:
Effective constructive heuristics and discrete bee colony optimization for distributed flowshop with setup times. Eng. Appl. Artif. Intell. 97: 104016 (2021) - [j2]Liang Sun, Quan-Ke Pan, Xue-Lei Jing, Jiang-Ping Huang:
A light-robust-optimization model and an effective memetic algorithm for an open vehicle routing problem under uncertain travel times. Memetic Comput. 13(2): 149-167 (2021) - 2020
- [j1]Jiang-Ping Huang, Quan-Ke Pan, Liang Gao:
An effective iterated greedy method for the distributed permutation flowshop scheduling problem with sequence-dependent setup times. Swarm Evol. Comput. 59: 100742 (2020)
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