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ORCIDHongyan Sang
- > Home > Persons > Hongyan Sang
Publications
- 2025
[j82]Weiyao Cheng
, Chaoyong Zhang, Leilei Meng, Biao Zhang, Kaizhou Gao, Hongyan Sang:
Deep reinforcement learning for solving efficient and energy-saving flexible job shop scheduling problem with multi-AGV. Comput. Oper. Res. 181: 107087 (2025)- [j78]Fan Ye, Peng Duan, Leilei Meng, Hongyan Sang, Kaizhou Gao:
An enhanced artificial bee colony algorithm with self-learning optimization mechanism for multi-objective path planning problem. Eng. Appl. Artif. Intell. 149: 110444 (2025) - [j76]Weiyao Cheng, Chaoyong Zhang, Leilei Meng, Kaizhou Gao, Biao Zhang, Hongyan Sang:
A cooperative agent deep reinforcement learning framework for solving flexible job shop scheduling problem with automated guided vehicles. Expert Syst. Appl. 287: 128142 (2025) - 2024
- [j59]Zi-Jiang Liu, Hong-yan Sang, Chang-Zhe Zheng, Hao Chi, Kai-Zhou Gao, Yu-Yan Han:
An effective multi-restart iterated greedy algorithm for multi-AGVs dispatching problem in the matrix manufacturing workshop. Expert Syst. Appl. 252: 124223 (2024) - 2023
- [j41]Zhong-Kai Li, Hongyan Sang, Jun-Qing Li, Yu-Yan Han, Kai-Zhou Gao, Zhi-xin Zheng, Li-li Liu:
Invasive weed optimization for multi-AGVs dispatching problem in a matrix manufacturing workshop. Swarm Evol. Comput. 77: 101227 (2023) - [j40]Yaxian Ren, Kaizhou Gao, Yaping Fu, Hongyan Sang, Dachao Li, Zile Luo:
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems. Swarm Evol. Comput. 80: 101338 (2023) - [j39]Leilei Meng, Chaoyong Zhang, Biao Zhang, Kaizhou Gao, Yaping Ren, Hongyan Sang:
MILP modeling and optimization of multi-objective flexible job shop scheduling problem with controllable processing times. Swarm Evol. Comput. 82: 101374 (2023) - [j37]Zhong-Kai Li, Hongyan Sang, Quanke Pan, Kaizhou Gao, Yuyan Han, Junqing Li:
Dynamic AGV Scheduling Model With Special Cases in Matrix Production Workshop. IEEE Trans. Ind. Informatics 19(6): 7762-7770 (2023) - 2022
- [j34]Yuanzhen Li, Quan-Ke Pan, Xuan He, Hongyan Sang, Kai-Zhou Gao, Xue-Lei Jing:
The distributed flowshop scheduling problem with delivery dates and cumulative payoffs. Comput. Ind. Eng. 165: 107961 (2022) - [j29]Leilei Meng, Kaizhou Gao, Yaping Ren, Biao Zhang, Hongyan Sang, Chaoyong Zhang:
Novel MILP and CP models for distributed hybrid flowshop scheduling problem with sequence-dependent setup times. Swarm Evol. Comput. 71: 101058 (2022) - 2020
- [j24]Kaizhou Gao, Fajun Yang, Junqing Li, Hongyan Sang, Jianping Luo:
Improved Jaya Algorithm for Flexible Job Shop Rescheduling Problem. IEEE Access 8: 86915-86922 (2020) - [j23]Ping Wang, Hongyan Sang, Qiuyun Tao, Hengwei Guo, Junqing Li, Kaizhou Gao, Yuyan Han:
Improved Migrating Birds Optimization Algorithm to Solve Hybrid Flowshop Scheduling Problem With Lot-Streaming. IEEE Access 8: 89782-89792 (2020) - [j21]Yuyan Han, Junqing Li, Hongyan Sang, Yiping Liu, Kaizhou Gao, Quanke Pan:
Discrete evolutionary multi-objective optimization for energy-efficient blocking flow shop scheduling with setup time. Appl. Soft Comput. 93: 106343 (2020) - 2019
- [j17]Junqing Li, Hongyan Sang, Quanke Pan, Peiyong Duan, Kaizhou Gao:
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm. IEEE CAA J. Autom. Sinica 6(5): 1240-1250 (2019) - [j13]Hongyan Sang, Quan-Ke Pan, Jun-Qing Li, Ping Wang, Yu-Yan Han, Kai-Zhou Gao, Peng Duan:
Effective invasive weed optimization algorithms for distributed assembly permutation flowshop problem with total flowtime criterion. Swarm Evol. Comput. 44: 64-73 (2019) - 2017
- [j6]Jun-Qing Li, Ji-dong Wang, Quan-Ke Pan, Pei-Yong Duan, Hong-yan Sang, Kai-Zhou Gao, Yu Xue:
A hybrid artificial bee colony for optimizing a reverse logistics network system. Soft Comput. 21(20): 6001-6018 (2017)
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