钱斌

期刊论文

1. Nai-Kang Yu, Bin Qian, Rong Hu, Jian-Bo Yang (2026). Effective hybrid branch-and-cut algorithm for the inventory routing problem with open vehicle routing constraints. Expert Systems With Applications, Vol. 299.DOI
2. Zi-Qi Zhang, Zhao-Meng Wu, Bin Qian, Rong Hu (2026). A reward-shaping dueling distributed multi-agent deep reinforcement learning framework for dynamic flexible job shop scheduling with random job arrivals. Expert Systems With Applications, Vol. 297.DOI
3. Zuocheng Li, Qianlei Xing, Rong Hu, Bin Qian (2026). Pareto evolutionary algorithm based on Markov chain for portfolio optimization considering profit of assets. Expert Systems With Applications, Vol. 296.DOI
4. 黄宇晗，张梓琪，李贤，周磊，钱斌（2026）. 深度强化学习驱动的多尺度窗口异构图注意力框架解决分布式柔性作业车间调度问题. 《控制理论与应用》.
5. 宁录胜，钱斌，陈有寿（2026）. 基于自整定PID算法的柱温箱温度控制策略研究. 《工业控制计算机》.
6. 林晓明，肖勇，王吉，钱斌，唐建林，张帆（2026）. 基于可解释强化学习的充电站安全快速需求响应策略. 《电力系统自动化》.
7. 张帆，高勇，肖勇，杨迪，罗奕，张英，钱斌（2026）. 面向充电桩未授权接入判别的电动汽车负荷非侵入式识别方法. 《电网与清洁能源》.DOI
8. 江梓烨，张长胜，钱斌，胡蓉（2026）. 基于TimeGAN与TransBiGRU-AKSM的铁水硅含量预测. 《云南大学学报(自然科学版)》.
9. 蒋雯倩，林晓明，张焜，周密，陈珏羽，钱斌，唐建林（2026）. 面向物联低压互动用户的轻量级双向认证协议. 《计算机应用与软件》.
10. 唐建林，钱斌，林晓明，张帆，颜燕玉，谢仕炜（2026）. 基于双重不动点映射的配电网能源共享交易策略研究. 《电测与仪表》.
11. 吕卓红，李作成，钱斌，胡蓉（2026）. Q学习模因算法求解可重入置换流水车间调度问题. 《重庆邮电大学学报(自然科学版)》.
12. Yuanyuan Yang, Bin Qian, Li-jun Wang, Junqing Li, Rong Hu (2026). A decomposition-based reinforcement learning approach for production and distribution integrated scheduling problem of perishable products. Swarm and Evolutionary Computation.DOI
13. Liao Hu, Jianhua Wang, Rong Hu, Bin Li, Lei Liu, Shao-Yi Shen, Tao Xiang, Tong Gao, Long Yang, Bin Qian (2026). A Bayesian Learning-Based Evolutionary Algorithm for Integrated Production and Material Distribution Scheduling in Multiple Heterogeneous Factories. Lecture notes in computer science.DOI
14. Ning-Hui Wu, Xin-yi LV, Qing-Yuan Cui, Qing Shi, Rong Hu, Bin Qian, B Wang (2026). Graph-Enhanced Actor-Critic Algorithm for the Integrated Scheduling Problem of Flexible Job Shop and AGV with Charging Constraints. Lecture notes in computer science.DOI
15. Can Cui, Xu-Hang Li, Yan-cui Zhu, Bin Qian, Rong Hu, Chang-Sheng Zhang, Li-Hai Wu (2026). A Multi-objective Flexible Job Shop Scheduling Approach Based on Preference-Driven and Two-Stage Graph Reinforcement Learning. Lecture notes in computer science.DOI
16. Ze Zhang, Yi He, X Y Li, X Y Li, Nan Chen, Nai-KangYu, Bin Qian, Rong Hu (2026). Robust Optimization for Unrelated Parallel Machine Planning and Scheduling with Budgeted Uncertainty Sets. Lecture notes in computer science.DOI
17. Song-Hang Liu, Yu-Min Luan, Shao-Yun Wang, Nai-Kang Yu, Rong Hu, Xing-Yong Li, Bin Qian (2026). A Dueling DQN-Based Memetic Algorithm for Multi-Scenario Robust Distributed Permutation Flowshop Scheduling. Communications in computer and information science.DOI
18. Feng-Shun Zhou, Bin Qian, Rong Hu, Jun-Qing Li, Huai-Ping Jin, Zi-Qi Zhang, Jian‐Bo Yang (2026). Deep reinforcement learning–driven space decomposition variable neighborhood search algorithm for distributed heterogeneous factory lot-sizing and scheduling problem. Expert Systems with Applications.DOI
19. Jia-Jie Xu, Guo-Quan Jiang, Hong-Tao Li, Yuan Li, Rong Hu, Bin Qian, Kun Li (2026). An Enhanced Actor-Critic Algorithm for the Integrated Scheduling Problem of Distributed Heterogeneous Hybrid Flow Shops and Split-Delivery Vehicle Routings. Communications in computer and information science.DOI
20. Min Li, Bin Li, Rong Hu, Jianhua Wang, Shao-Yi Shen, Lei Liu, Shi-Gao Zheng, Bin Qian, Feng-Shun Zhou, Yun-Wei Zhang (2026). Improved Deep Q-Network AGV Warehouse Outbound Scheduling. Communications in computer and information science.DOI
21. B B Liu, Jin Peng, Yang Zhang, Bin Qian, Ben-Xing Xiao, Tang-Kun Zhao, Rong Hu (2026). Hierarchical Multi-agent Accelerated Hyper-heuristic EDA Method for Solving Planning and Scheduling in Distributed Heterogeneous Tin Chemical Plants. Communications in computer and information science.DOI
22. Xicheng Zhang, Yumin Luan, Xiaoyu Li, Bin Qian, Rong Hu, Changsheng Zhang, Kun Li (2026). C-NIG: A Collaborative Neural Iterated Greedy Algorithm for Distributed Heterogeneous Blocking Flow Shop Scheduling. Communications in computer and information science.DOI
23. Shuo Xiao, Jin-Yuan Hu, Yong-Feng Jin, Wan-Peng Zheng, Rong Hu, Bin Qian, B Wang (2026). An Integrated Deep Reinforcement Learning Method for Batch Planning and Scheduling in Distributed Flow Shops. Communications in computer and information science.DOI
24. L Zhang, Kun Wang, Yi He, Rong Hu, Shao-Yun Wu, Ying-Wei Xin, Jin-Zheng Dai, Bin Qian (2026). A Hyper-heuristic DQN Algorithm for the Lot-Sizing and Scheduling Problem in Distributed Heterogeneous Factories. Communications in computer and information science.DOI
25. Z J Liu, Bin Qian, Rong Hu (2026). A Reinforcement Learning Method for Solving Coordinated Outbound Scheduling between Stackers and Circular RGVs. Chinese Control and Decision Conference (CCDC).DOI
26. Biao Xiang, Ning Guo, Bin Qian (2026). Q-Learning Enhanced Hybrid Ant Colony Optimization for Two- Echelon Heterogeneous Multi-Compartment Vehicle Routing Problem. Chinese Control and Decision Conference (CCDC).DOI
27. Lishi Huang, Ning Guo, Bin Qian (2026). Adaptive Genetic Algorithm With Q_Learning and Dynamic Catastrophe for Multi-Compartment Vehicle Routing Problem With Flexible Compartment Sizes. Chinese Control and Decision Conference (CCDC).DOI
28. Zi-Qi Zhang, Hua-Dong Bao, Yan-xuan Xu, Bin Qian, Rong Hu (2026). A two stage learning based knowledge driven evolutionary algorithm for energy efficient distributed hybrid flow shop scheduling problem with heterogeneous factories. Scientific Reports.DOI
29. Zi-Qi Zhang, Yu-Han Huang, Yan-xuan Xu, Bin Qian, Rong Hu (2026). Adaptive multi-scale heterogeneous graph-attention network assisted deep reinforcement learning for distributed flexible job-shop scheduling problem. Swarm and Evolutionary Computation.DOI
30. Yelei Wang, Hao Fang, Huaiping Jin, Bin Qian, Jiashuo Shi, Bin Wang (2026). MTWDIF-DCL: An adaptive soft sensor leveraging multi-time-window domain-invariant feature extraction and deep continual learning for evolving process streams. Chemical Engineering Science.DOI
31. Yi-Jun Wang, Rong Hu, Bin Qian, Kun Li, Wen-Bing Zhang, Jian‐Bo Yang (2026). Collaborative deep reinforcement learning algorithm for solving multi-AGV dynamic scheduling problem. Expert Systems with Applications.DOI
32. Zi-Qi Zhang, Jia-Qu Li, Tong Huang, Xiaowei Li, Bin Qian, Rong Hu (2026). Cooperative multi-agent dual attention framework for flexible job shop scheduling problem considering complex worker heterogeneity under multi-worker collaboration. Expert Systems with Applications.DOI
33. Qingxia Shang, Ke Chen, Bin Qian, Wei Zhou, Rong Hu, Liang Feng (2026). A multi-stage bidirectional sampling competitive swarm optimization algorithm for solving large-scale multi-objective optimization problem. Expert Systems with Applications.DOI
34. Tong Hang, Zi-Qi Zhang, Bin Qian, Rong Hu, Wei Chen, Jian‐Bo Yang (2026). A decomposition-based Q-learning enhanced evolutionary algorithm for the transportation-assembly collaborative optimization problem. Complex & Intelligent Systems.DOI
35. 金怀平，赵鹏飞，饶飞鸿，杨彪，钱斌（2025）. 基于大规模伪标记优化的间歇过程半监督质量预测. 《计算机集成制造系统》.DOI
36. 郭宁，钱斌，申秋义，那靖，胡蓉，耿言（2025）. 超启发蚁群优化算法求解带柔性时间窗的绿色两级多周期车辆路径问题. 《控制与决策》.DOI
37. 梁望，钱斌，胡蓉，张梓琪，张长胜（2025）. 两阶段智能优化算法求解紧凑型带钢生产热轧调度问题. 《计算机集成制造系统》.
38. 薛思瑞，张长胜，丁鑫，钱斌，胡蓉（2025）. 融合多策略改进麻雀搜索算法. 《云南大学学报(自然科学版)》.
39. 张鼎衢，钱斌，杨路，陈峰，罗奕（2025）. 基于模型驱动的电力系统安全稳定分析与控制策略. 《中国电力》.
40. 肖勇，谈竹奎，钱斌，张俊玮，罗奕，张帆，黄军力（2025）. 基于混合模型的非侵入式负荷监测数据的生成. 《深圳大学学报(理工版)》.
41. Hao Wei, Zi-Qi Zhang, Bin Qian, Rong Hu, Wei Chen, Wei-Cheng Gao (2025). Meta-path-based Graph Reinforcement Learning Framework for Flexible Job Shop Scheduling Problem with Limited Mobile Robots. International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR).DOI
42. Jie Li, Zi-Qi Zhang, Bin Qian, Rong Hu, Wei Chen, Wei-Cheng Gao (2025). Graph Attention-Based Multi-Level Decision Agent Framework for Flexible Job Shop Scheduling Problem with Heterogeneous Worker Collaboration. International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR).DOI
43. Hua-Dong Bao, Zi-Qi Zhang, Bin Qian, Rong Hu, Wei Chen, Wei-Cheng Gao (2025). A Two-Stage Hyper-Heuristic with Multi-Agent Reinforcement Learning for Energy-Efficient Distributed Assembly Hybrid Flow-Shop Scheduling Problem. International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR).DOI
44. Yuhan Huang, Zi-Qi Zhang, Bin Qian, Rong Hu, Wei Chen, Wei-Cheng Gao (2025). Deep Reinforcement Learning Based on Heterogeneous Graph mixed-head attention for flexible job-shop scheduling problem. International Conference on Artificial Intelligence, Human-Computer Interaction and Robotics (AIHCIR).DOI
45. Huaiping Jin, Zhiheng Jiang, Bin Wang, Hao Fang, Jiashuo Shi, Bin Qian (2025). A novel virtual sample generation approach fusing multi-mode process information and multi-view graph features for enhanced soft sensor development. Chemical Engineering Science.DOI
46. Zi-Qi Zhang, Tong Huang, Bin Qian, Rong Hu (2025). MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling. Computers & Industrial Engineering.DOI
47. Sheng-Jie Qing, Zi-Qi Zhang, Bin Qian, Rong Hu, Ling Wang (2025). A Q-learning Based Hyper-heuristic Algorithm for The Energy-efficient Distributed Assembly Fuzzy Flexible Job-shop Scheduling Problem. 《第44届中国控制会议论文集（4）》.DOI
48. Biao Yuan, Zi-Qi Zhang, Bin Qian, Rong Hu, Ling Wang (2025). MEDA-HEA:Multidimensional EDA-based Hyperheuristic Evolutionary Algorithm for Energy-Efficient Distributed Flexible Job-Shop with Flexible Assembly Scheduling. 《第44届中国控制会议论文集（4）》.DOI
49. Nannan Zuo, Rong Hu, Qingxia Shang, Bin Qian (2025). Adaptive Evolutionary Multi-tasking for Solving Two-echelon Routing Problem. 《第44届中国控制会议论文集（4）》.DOI
50. Jie Bin, Bin Qian, Zi-Qi Zhang, Rong Hu, Ling Wang (2025). MEDA＿HH:A Multidimensional Estimation of Distribution Algorithm-Based Hyper Heuristic for Distributed No-Wait Lot-Streaming Flow-Shop Scheduling Problem. 《第44届中国控制会议论文集（4）》.DOI
51. Min Zhou, Bin Qian, Zi-Qi Zhang, Rong Hu, Ling Wang (2025). A collaborative Q-learning algorithm based hyper-heuristic for the distributed assembly hybrid flow shop scheduling problem. 《第44届中国控制会议论文集（4）》.DOI
52. Hongyu Zhang, Qingxia Shang, Bin Qian, Rong Hu (2025). Multi-form hybrid algorithms for solving large-scale vehicle routing problem. 《第44届中国控制会议论文集（4）》.DOI
53. Rui-Lin Cao, Zi-Qi Zhang, Bin Qian, Rong Hu, Ling Wang (2025). DRLHA:Deep Reinforcement Learning-driven Heuristic Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times. 《第44届中国控制会议论文集（4）》.DOI
54. Tong Huang, Zi-Qi Zhang, Bin Qian, Rong Hu (2025). MAMOHN: A Multi-agent Deep Reinforcement Learning framework based on Mixture-of-Head Attention Network for Flexible Job Shop Scheduling. 2022 IEEE 20th International Conference on Industrial Informatics (INDIN).DOI
55. Feng-Shun Zhou, Rong Hu, Bin Qian, Qingxia Shang, Yuanyuan Yang, Jian‐Bo Yang (2025). Spatial decomposition-based iterative greedy algorithm for the multi-resource constrained re-entrant hybrid flow shop scheduling problem in semiconductor wafer fabrication. Computers & Industrial Engineering.DOI
56. Zi-Qi Zhang, Xiaowei Li, Bin Qian, Huaiping Jin, Rong Hu, Jian‐Bo Yang (2025). Multi-agent cooperative multi-network group framework for energy-efficient distributed fuzzy flexible job shop scheduling problem. Applied Soft Computing.DOI
57. Yan Geng, Ning Guo, Bin Qian (2025). Multi-Dimensional Ant Colony Algorithm for Multi-Compartment Vehicle Routing Problem with Fuzzy Demand. Chinese Control and Decision Conference (CCDC).DOI
58. Zhuohong Lv, Zuocheng Li, Bin Qian (2025). Memetic Algorithm for a Kind of Production and Assembly Integration Optimization Problem. Chinese Control and Decision Conference (CCDC).DOI
59. Wei Wang, Bin Qian (2025). Nondominated Sorting Genetic Algorithm II for Solving an Integrated Production and Transportation Optimization Problem. Chinese Control and Decision Conference (CCDC).DOI
60. Yu Gao, Huaiping Jin, Zhiqiang Wang, Bin Wang, Bin Qian, Biao Yang (2025). A quality-relevant deep rule-based system with complementary lifelong learning for adaptive quality prediction in industrial semi-supervised process data streams. Information Sciences.DOI
61. Huaiping Jin, Xin Dong, Bin Qian, Bin Wang, Biao Yang, Xiangguang Chen (2025). Soft sensor modeling using deep learning with maximum relevance and minimum redundancy for quality prediction of industrial processes. ISA Transactions.DOI
62. Hongyu Zhang, Bin Qian, Rong Hu, Qingxia Shang (2025). Heuristic Algorithm with Graph Transformer Network for Solving Dynamic Electric Vehicle Routing Problem. Lecture notes in computer science.DOI
63. Haiyang Feng, Qingxia Shang, Bin Qian, Rong Hu (2025). A Novel Multi-space Evolutionary Search for Solving Dynamic Vehicle Routing Problem. Learning and analytics in intelligent systems.DOI
64. Fei Jiang, Lei Liu, Shao-Yi Shen, Jian-Hua Wang, Bin Li, Zi-Qi Zhang, Bin Qian (2025). Learning Hyper-Heuristic Algorithm for Uncertain Distributed Production and Transportation Integrated Scheduling Problem with Interval Number Transportation Speed. Lecture notes in computer science.DOI
65. Zhichao Liu, Qingxia Shang, Bin Qian, Rong Hu (2025). Muti-space Hybrid Algorithm for Solving Sparse Large-Scale Multi-objective Optimization Problems. Lecture notes in computer science.DOI
66. Zhao-Meng Wu, Zi-Qi Zhang, Bin Qian, Rong Hu (2025). A Dueling DQN Framework for Solving Multi-objective Flexible Job Shop Scheduling with Urgent Job Insertions and Machine Breakdowns. Lecture notes in computer science.DOI
67. Jingwei Gao, Bin Li, Shao-Yi Shen, Tao Xiang, Shi-Gao Zheng, Bin Qian, Rong Hu (2025). Collaborative Double DQN Hyper-Heuristic Evolutionary Algorithm for the Lot-Sizing and Scheduling Problem in Distributed Heterogeneous Hybrid Flow Shop. Lecture notes in computer science.DOI
68. Jin-You Lu, Rong Hu, Yuhang Zhu, Bin Qian, Huaiping Jin (2025). An Enhanced Q-learning Algorithm for the Batch Production Scheduling Problem of Monocrystalline Silicon Rods. Lecture notes in computer science.DOI
69. Chuan Mao, Wen-Bing Zhang, Qing-Yuan Cui, Qing Hua Shi, Bin Qian, Rong Hu (2025). Collaborative Q-learning Algorithm for Integrated Optimization of Batch Processing and Hybrid Flow Shop Scheduling. Lecture notes in computer science.DOI
70. Nannan Zuo, Rong Hu, Qingxia Shang, Yuxiao Huang, Bin Qian (2025). Adaptive Evolutionary Multitasking with Pyramid Matching Kernel Strategy for Solving the Green Two-Echelon Vehicle Routing Problem. Lecture notes in computer science.DOI
71. Run Gan, Nai-Kang Yu, X. Rong Li, Lijun Wang, Nan Chen, Rong Hu, Bin Qian (2025). A LPT-Based Branch and Bound Algorithm for the Fuzzy Unrelated Parallel Machine Scheduling Problem. Lecture notes in computer science.DOI
72. Wei-Hua Li, Zhiqiang Wang, Jin Peng, Zi-Qi Zhang, Kun Li, Rong Hu, Zi-Ming Ma, Mingyao Li, Bin Qian (2025). Flexible Job-Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. Lecture notes in computer science.DOI
73. Minghuang Fang, Zi-Qi Zhang, Bin Qian, Rong Hu (2025). A Multi-agent Deep Reinforcement Learning Framework for Solving Dynamic Distributed Flexible Job Shop Scheduling in Industrial Internet of Things. Lecture notes in computer science.DOI
74. Yuan-ji Ming, Qingxia Shang, Bin Qian, Rong Hu (2025). Multi-agent Deep Q-Learning Algorithm Integrated with Ant Colony Optimization for Solving Dynamic Feeder Vehicle Routing Problem. Lecture notes in computer science.DOI
75. Xiaowei Li, Bin Qian, Zi-Qi Zhang, Rong Hu (2025). A Hierarchical Multi-agent Reinforcement Learning Framework to Optimizing Distributed Flexible Manufacturing Systems with Integrated Assembly and Logistics. Lecture notes in computer science.DOI
76. Haiyang Feng, Qingxia Shang, Bin Qian, Rong Hu (2025). Advanced Multi-space Evolutionary Search for Solving Large-Scale Optimization Problems. Communications in computer and information science.DOI
77. Xinyun Wu, Zi-Qi Zhang, Bin Qian, Rong Hu (2025). A Q-learning Hyper-Heuristic for Energy-Efficient Integrated Distributed Hybrid Flow Shop Scheduling. Communications in computer and information science.DOI
78. Cong Xu, Wen-Bing Zhang, Rong Hu, Kui Liu, Bin Qian, Changsheng Zhang (2025). A Hybrid Reinforcement Learning Method for Mixed Flow Chemical Production Scheduling Problem with Material Distribution. Communications in computer and information science.DOI
79. Yan-Hong Xiao, Bin Qian, Hou-Peng Hu, Mi Zhou, Ze-Rui Chen, Xiao-Ming Lin, Peilin He, Jianlin Tang (2025). Carbon-Aware Bi-Level Coordination of Electric Vehicles and Distribution Networks Via Dynamic Electricity-Carbon Signals. 2025 6th International Conference on Electrical Technology and Automatic Control (ICETAC).DOI
80. Liudong Zhang, Wenlu Ji, Yulin Zhao, Di-Jie Huang, Bin Qian (2025). Review on Application and Challenges of Large Language Models in Power Grids. IEEE Access.DOI
81. 苏章圣，邓超，钱斌，胡蓉，陈波（2024）. 考虑工艺约束的多阶耦合集成调度问题优化. 《计算机集成制造系统》.DOI
82. 孙鑫伟，钱斌，胡蓉，张森，于乃康（2024）. 启发式列生成算法求解带恶化效应的同构并行机调度问题. 《控制与决策》.DOI
83. 郭云川，张长胜，段青娜，罗运河，程倩，钱斌，胡蓉（2024）. 融合多策略的改进秃鹰搜索算法. 《控制与决策》.DOI
84. 胡蓉，伍星，毛剑琳，钱斌（2024）. 融入概率学习的混合差分进化算法求解绿色分布式可重入作业车间调度. 《控制理论与应用》.
85. 郭宁，申秋义，钱斌，那靖，胡蓉，毛剑琳（2024）. 双重信息引导的蚁群算法求解绿色多舱车辆路径问题. 《控制理论与应用》.
86. 杨媛媛，胡蓉，钱斌，张长胜，金怀平（2024）. 深度强化学习算法求解动态流水车间实时调度问题. 《控制理论与应用》.
87. Yan Geng, Ning Guo, Bin Qian (2024). Learning Ant Colony Algorithm for Solving Green Multi-Compartment Vehicle Routing Problem with Simultaneous Pickup and Delivery. IEEE International Conference on Automation, Electronics and Electrical Engineering (AUTEEE).DOI
88. Zuocheng Li, Ziqi Ding, Bin Qian, Rong Hu, Rongjuan Luo, Ling Wang (2024). Bayesian learning based elitist nondominated sorting algorithm for a kind of multi-objective integrated production scheduling and transportation problem. Applied Soft Computing.DOI
89. Bin Qian, Fei-Long Feng, Nai-Kang Yu, Rong Hu, Yu‐Wang Chen (2024). An alternating direction multiplier method with variable neighborhood search for electric vehicle routing problem with time windows and battery swapping stations. Applied Soft Computing.DOI
90. Ziqi Ding, Zuocheng Li, Bin Qian, Rong Hu, Rongjuan Luo, Ling Wang (2024). Two-stage multi-objective optimization based on knowledge-driven approach: A case study on production and transportation integration. Future Generation Computer Systems.DOI
91. Zuocheng Li, Ling Bai, Bin Qian, Yuning Chen (2024). Active learning based hyper-heuristic for the integration of production and Transportation: A third-party logistics perspective. Computers & Industrial Engineering.DOI
92. Zi-Qi Zhang, Ying Li, Bin Qian, Rong Hu, Jianbo Yang (2024). A multidimensional probabilistic model based evolutionary algorithm for the energy-efficient distributed flexible job-shop scheduling problem. Engineering Applications of Artificial Intelligence.DOI
93. Huaiping Jin, Guangkun Liu, Bin Qian, Bin Wang, Biao Yang, Xiangguang Chen (2024). Semi-supervised soft sensor development based on dynamic dimensionality reduction-assisted large-scale pseudo label optimization and sample-weighted quality-relevant deep learning. Chemical Engineering Science.DOI
94. Guangkun Liu, Huaiping Jin, Bin Wang, Biao Yang, Bin Qian (2024). Soft Sensor Development Based on Large-Scale Pseudo Labeling Optimization. IEEE Data Driven Control and Learning Systems Conference (DDCLS).DOI
95. Zi-Qi Zhang, Yanxuan Xu, Bin Qian, Rong Hu, Fang-Chun Wu, Ling Wang (2024). An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems. Swarm and Evolutionary Computation.DOI
96. Rong Hu, Yu-Fang Huang, Xing Wu, Bin Qian, Ling Wang, Zi-Qi Zhang (2024). Collaborative Q-learning hyper-heuristic evolutionary algorithm for the production and transportation integrated scheduling of silicon electrodes. Swarm and Evolutionary Computation.DOI
97. Huaiping Jin, Qin Xiong, Bin Wang, Bin Qian, Biao Yang, Shoulong Dong (2024). Soft Sensor Development Based on Unsupervised Dynamic Weighted Domain Adaptation for Quality Prediction of Batch Processes. IEEE Transactions on Instrumentation and Measurement.DOI
98. Jianhua Ma, Rong Hu, Ning Guo, Bin Qian (2024). Collaborative Hyper-Heuristic Ant Colony Algorithm for Solving Multi-objective Fuzzy Low-Carbon Distributed Permutation Flow-Shop and Two-Echelon Vehicle Transportation Integrated Scheduling Problem. Lecture notes in computer science.DOI
99. Zaixing Sun, Fangfang Zhang, Yi Mei, Hejiao Huang, Chonglin Gu, Bin Qian, Mengjie Zhang (2024). Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics. Lecture notes in computer science.DOI
100. Zhicheng Wang, Ning Guo, Rong Hu, Bin Qian, Qingxia Shang (2024). A Hybrid Ant Colony Optimization Algorithm for Green Two-Echelon Multi-compartment Vehicle Routing Problem with Time Windows. Lecture notes in computer science.DOI
101. Chao Song, Ning Guo, Bin Qian, Rong Hu, Qingxia Shang (2024). Enhanced Interactive Ant Colony Algorithm for Solving Multi-objective Distributed Flow Shop Production and Time-Dependent Multi-compartment Vehicle Routing Integrated Optimization Problem. Lecture notes in computer science.DOI
102. Dong-Lin Yang, Bin Qian, Zi-Qi Zhang, Rong Hu, Kun Li (2024). A Hyper-Heuristic Algorithm with Q-Learning for Distributed Flow Shop-Vehicle Transport-U-Assembly Integrated Scheduling Problem. Lecture notes in computer science.DOI
103. Han Li, Bin Qian, Nai-Kang Yu, Rong Hu, Zuocheng Li (2024). A Branch-and-Price Heuristic Algorithm for Vehicle Routing Problem with Soft Time Windows. Lecture notes in computer science.DOI
104. Shu Qian, Rong Hu, Bin Qian, Nai-Kang Yu, Qingxia Shang (2024). A Branch and Price Heuristic Algorithm for the Vehicle Routing Problem with Time Windows. Lecture notes in computer science.DOI
105. Mi Zhou, Bin Qian, Xiao-Ming Lin, Fan Zhang, Yi Luo, Bin-Quan Wu (2024). Efficiency Electrical Power Edge-end Computing with Patch-based Low-rank Transformer. International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government.DOI
106. Bin Qian, Yuming Zhao, Jian-Lin Tang, Zhenshang Wang, Fusheng Li, Jing Wang, Shan He, Jun-Long Liu (2024). Robust Federated Learning with Valid Gradient Direction for Cloud-Edge-End Collaboration in Smart Grids. International Conference on E-Learning, E-Business, Enterprise Information Systems, & E-Government.DOI
107. 金怀平，黄成，董守龙，黄思，杨彪，钱斌，陈祥光（2023）. 基于多相似度局部状态辨识的集成学习自适应软测量方法. 《计算机集成制造系统》.DOI
108. 李熠胥，胡蓉，吴绍云，于乃康，钱斌（2023）. 三阶段拉格朗日启发式算法求解带同时取送货的绿色车辆路径问题. 《控制与决策》.DOI
109. 罗鸿轩，肖勇，王宗义，钱斌（2023）. 考虑联合热电需求响应的多能源协调优化技术. 《南方电网技术》.
110. 李正雯，胡蓉，钱斌，金怀平，吕阳（2023）. 学习型离散排超联赛算法求解带时间窗的绿色多车型两级车辆路径问题. 《控制理论与应用》.
111. 黄成，金怀平，王彬，钱斌，杨彪（2023）. 基于时空局部学习的集成自适应软测量方法. 《仪器仪表学报》.DOI
112. 连戈，朱荣，钱斌，吴绍云，胡蓉（2023）. 超启发式人工蜂群算法求解多场景鲁棒分布式置换流水车间调度问题. 《控制理论与应用》.
113. 孙蓉洁，钱斌，胡蓉，张大骋，向凤红（2023）. 混合三维EDA求解带二维装载约束的车辆配送与分布式生产集成调度问题. 《控制理论与应用》.
114. 温在鑫，钱斌，胡蓉，金怀平，杨媛媛（2023）. 基于学习型人工蜂群算法优化双向GRU的乙烯产率预测. 《控制理论与应用》.
115. 金怀平，王建军，董守龙，钱斌，杨彪，陈祥光（2023）. 基于深度学习特征提取与多目标优化集成修剪的选择性集成学习软测量方法. 《控制与决策》.DOI
116. 陶昕瑞，潘全科，钱斌（2023）. 分布式流水车间调度问题研究综述. 《第34届中国过程控制会议论文集》.DOI
117. Zi-Qi Zhang, Bin Qian, Rong Hu, Jianbo Yang (2023). Q-learning-based hyper-heuristic evolutionary algorithm for the distributed assembly blocking flowshop scheduling problem. Applied Soft Computing.DOI
118. Huaiping Jin, Shuqi Huang, Bin Wang, Xiangguang Chen, Biao Yang, Bin Qian (2023). Soft sensor modeling for small data scenarios based on data enhancement and selective ensemble. Chemical Engineering Science.DOI
119. Huaiping Jin, Feihong Rao, Wangyang Yu, Bin Qian, Biao Yang, Xiangguang Chen (2023). Pseudo label estimation based on label distribution optimization for industrial semi-supervised soft sensor. Measurement.DOI
120. Yuechen Wang, Huaiping Jin, Xiangguang Chen, Bin Wang, Biao Yang, Bin Qian (2023). Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams. Sensors.DOI
121. Yijie Gao, Qingxia Shang, Yuanyuan Yang, Rong Hu, Bin Qian (2023). Improved Particle Swarm Optimization Algorithm Combined with Reinforcement Learning for Solving Flexible Job Shop Scheduling Problem. Lecture notes in computer science.DOI
122. Qiu-Yi Shen, Ning Guo, Rong Hu, Bin Qian, Jianlin Mao (2023). Hyper-heuristic Ant Colony Optimization Algorithm for Multi-objective Two-Echelon Vehicle Routing Problem with Time Windows. Lecture notes in computer science.DOI
123. Jian Zhang, Rong Hu, Yijun Wang, Yuanyuan Yang, Bin Qian (2023). Deep Reinforcement Learning for Solving Multi-objective Vehicle Routing Problem. Lecture notes in computer science.DOI
124. Fei-Long Feng, Bin Qian, Rong Hu, Nai-Kang Yu, Qingxia Shang (2023). ADMM with SUSLM for Electric Vehicle Routing Problem with Simultaneous Pickup and Delivery and Time Windows. Lecture notes in computer science.DOI
125. Fang-Chun Wu, Bin Qian, Rong Hu, Zi-Qi Zhang, Bin Wang (2023). A Q-Learning-Based Hyper-Heuristic Evolutionary Algorithm for the Distributed Flexible Job-Shop Scheduling Problem. Lecture notes in computer science.DOI
126. Yu-Fang Huang, Rong Hu, Xing Fang Wu, Bin Qian, Yuanyuan Yang (2023). A Reinforcement Learning Method for Solving the Production Scheduling Problem of Silicon Electrodes. Lecture notes in computer science.DOI
127. Wenbo Chen, Bin Qian, Rong Hu, Sen Zhang, Yijun Wang (2023). Hybrid Hyper-heuristic Algorithm for Integrated Production and Transportation Scheduling Problem in Distributed Permutation Flow Shop. Lecture notes in computer science.DOI
128. Jin-Han Zhu, Rong Hu, Zuocheng Li, Bin Qian, Zi-Qi Zhang (2023). Hyper-heuristic Q-Learning Algorithm for Flow-Shop Scheduling Problem with Fuzzy Processing Times. Lecture notes in computer science.DOI
129. Xianlin Feng, Rong Hu, Nai-Kang Yu, Bin Qian, Chang Sheng Zhang (2023). Real-Time Crowdsourced Delivery Optimization Considering Maximum Detour Distance. Lecture notes in computer science.DOI
130. Yijun Wang, Bin Qian, Rong Hu, Yuanyuan Yang, Wenbo Chen (2023). Deep Reinforcement Learning for Solving Distributed Permutation Flow Shop Scheduling Problem. Lecture notes in computer science.DOI
131. Ying Li, Rong Hu, Xing Wu, Bin Qian, Zi-Qi Zhang (2023). Learning Variable Neighborhood Search Algorithm for Solving the Energy-Efficient Flexible Job-Shop Scheduling Problem. Lecture notes in computer science.DOI
132. Shurui Zhang, Bin Qian, Zuocheng Li, Rong Hu, Biao Yang (2023). A Learning-Based Multi-Objective Evolutionary Algorithm for Parallel Machine Production and Transportation Integrated Optimization Problem. Lecture notes in computer science.DOI
133. Ke Lan, Zi-Qi Zhang, Bin Qian, Rong Hu, Dacheng Zhang (2023). A Hyper-Heuristic Algorithm with Q-Learning for Distributed Permutation Flowshop Scheduling Problem. Lecture notes in computer science.DOI
134. Ziqi Ding, Zuocheng Li, Bin Qian, Rong Hu, Changsheng Zhang (2023). Probability Learning Based Multi-objective Evolutionary Algorithm for Distributed No-Wait Flow-Shop and Vehicle Transportation Integrated Optimization Problem. Lecture notes in computer science.DOI
135. Xing-Han Qiu, Bin Qian, Zi-Qi Zhang, Zuocheng Li, Ning Guo (2023). Improved EDA-Based Hyper-heuristic for Flexible Job Shop Scheduling Problem with Sequence-Independent Setup Times and Resource Constraints. Lecture notes in computer science.DOI
136. Jianqun Gong, Zuocheng Li, Bin Qian, Rong Hu, Bin Wang (2023). Learning Based Memetic Algorithm for the Monocrystalline Silicon Production Scheduling Problem. Lecture notes in computer science.DOI
137. Rui Liu, Bin Qian, Sen Zhang, Rong Hu, Nai-Kang Yu (2023). Runtime Analysis of Estimation of Distribution Algorithms for a Simple Scheduling Problem. Lecture notes in computer science.DOI
138. Ling Bai, Bin Qian, Rong Hu, Zuocheng Li, Huaiping Jin (2023). Hyper-heuristic Estimation of Distribution Algorithm for Green Hybrid Flow-Shop Scheduling and Transportation Integrated Optimization Problem. Lecture notes in computer science.DOI
139. Li Xiao, Zi-Qi Zhang, Rong Hu, Bin Qian, Kun Li (2023). Hyper-heuristic Three-Dimensional Estimation of Distribution Algorithm for Distributed Assembly Permutation Flowshop Scheduling Problem. Lecture notes in computer science.DOI
140. Sen Zhang, Bin Qian, Rong Hu, Changsheng Zhang, Kun Li (2023). A Branch and Bound Algorithm for the Two-Machine Blocking Flowshop Group Scheduling Problem. Lecture notes in computer science.DOI
141. Linhao Xu, Bin Qian, Rong Hu, Nai-Kang Yu, Huaiping Jin (2023). Lagrange Heuristic Algorithm Incorporated with Decomposition Strategy for Green Multi-depot Heterogeneous-Fleet Vehicle Routing Problem. Lecture notes in computer science.DOI
142. Zhenshang Wang, Mi Zhou, Yuming Zhao, Fan Zhang, Jing Wang, Bin Qian, Zhen Liu, Peitian Ma, Qianli Ma (2023). Electrical Power Edge-End Interaction Modeling with Time Series Label Noise Learning. Electronics.DOI
143. Zi-Qi Zhang, Bin Qian, Rong Hu, Huai-Ping Jin, Ling Wang, Jian-Bo Yang (2022). A matrix-cube-based estimation of distribution algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times. Expert Systems With Applications, Vol. 205.DOI
144. 张梓琪，钱斌，胡蓉，王凌，向凤红（2022）. 基于多维EDA算法的低碳分布式装配流水车间调度. 《控制与决策》.DOI
145. 李楠，胡蓉，钱斌，金怀平，于乃康（2022）. 两阶段混合优化算法求解模糊需求下多时间窗车辆路径问题. 《控制与决策》.DOI
146. 钱斌，刘荻飞，胡蓉，张梓琪（2022）. 混合迭代贪婪算法求解准时生产分布式流水线调度问题. 《控制与决策》.DOI
147. 胡蓉，李洋，钱斌，金怀平，向凤红（2022）. 结合聚类分解的增强蚁群算法求解复杂绿色车辆路径问题. 《自动化学报》.DOI
148. 石立贤，金怀平，杨彪，钱斌，金怀康（2022）. 基于局部学习和多目标优化的选择性异质集成超短期风电功率预测方法. 《电网技术》.
149. 李富盛，陈伟松，钱斌，郭斌，肖勇，周密，罗奕（2022）. 面向低压配电网智能电表误差监测的LightGBM-EM-EC多变量缺失数据高效重建. 《中国电机工程学报》.
150. Ning Guo, Qiu-Yi Shen, Bin Qian, Jing Na, Rong Hu (2022). A Multi-dimensional Ant Colony Optimization Algorithm for Multi-objective Multi-compartment Vehicle Routing Problem with Time Windows. 《第33届中国过程控制会议论文集》.DOI
151. Bin Qian, Zi-Qi Zhang, Rong Hu, Huaiping Jin, Jian‐Bo Yang (2022). A Matrix-Cube-Based Estimation of Distribution Algorithm for No-Wait Flow-Shop Scheduling With Sequence-Dependent Setup Times and Release Times. IEEE Transactions on Systems Man and Cybernetics Systems.DOI
152. Nai-Kang Yu, Bin Qian, Rong Hu, Yu‐Wang Chen, Ling Wang (2022). Solving open vehicle problem with time window by hybrid column generation algorithm. Journal of Systems Engineering and Electronics.DOI
153. Ning Guo, Bin Qian, Jing Na, Rong Hu, Jian-Lin Mao (2022). An Enhanced Ant Colony Algorithm with Variable Neighborhood Descent for Multi-compartment Vehicle Routing Problem with Time Limits. 《第41届中国控制会议论文集（4）》.DOI
154. Ning Guo, Bin Qian, Jing Na, Rong Hu, Jianlin Mao (2022). A three-dimensional ant colony optimization algorithm for multi-compartment vehicle routing problem considering carbon emissions. Applied Soft Computing.DOI
155. Yang Lv, Bin Qian, Rong Hu, Huaiping Jin, Ziqi Zhang (2022). An enhanced cross-entropy algorithm for the green scheduling problem of steelmaking and continuous casting with uncertain processing time. Computers & Industrial Engineering.DOI
156. Zheng Li, Huaiping Jin, Shoulong Dong, Bin Qian, Biao Yang, Xiangguang Chen (2022). Semi-supervised ensemble support vector regression based soft sensor for key quality variable estimation of nonlinear industrial processes with limited labeled data. Process Safety and Environmental Protection.DOI
157. Zaixing Sun, Boyu Zhang, Chonglin Gu, Ruitao Xie, Bin Qian, Hejiao Huang (2022). ET2FA: A Hybrid Heuristic Algorithm for Deadline-constrained Workflow Scheduling in Cloud. IEEE Transactions on Services Computing.DOI
158. Rong Hu, Xing Wu, Bin Qian, Jianlin Mao, Huaiping Jin (2022). Differential Evolution Algorithm Combined with Uncertainty Handling Techniques for Stochastic Reentrant Job Shop Scheduling Problem. Complexity.DOI
159. 钱斌，佘明哲，胡蓉，郭宁，向凤红（2021）. 超启发式交叉熵算法求解模糊分布式流水线绿色调度问题. 《控制与决策》.DOI
160. 杨嫒，钱斌，胡蓉，祝晓红，向凤红（2021）. 精确动态规划算法求解绿色单机调度问题. 《控制与决策》.DOI
161. 张梓琪，钱斌，胡蓉（2021）. 混合交叉熵算法求解复杂零等待流水线调度问题. 《控制理论与应用》.
162. 翟少磊，肖勇，廖耀华，钱斌，罗奕（2021）. 直流分压器频率响应现场试验源及试验方法. 《南方电网技术》.
163. 李熠胥，钱斌，胡蓉，于乃康，潘全科（2021）. 改进拉格朗日松弛算法求解绿色同时取送货车辆路径问题. 《第32届中国过程控制会议(CPCC2021)论文集》.DOI
164. 罗鸿轩，金鑫，钱斌，赵云（2021）. 基于区块链的台区智能终端与智能电表安全防护方法. 《南方电网技术》.DOI
165. 张烜荧，胡蓉，钱斌（2021）. 超启发式分布估计算法求解带软时间窗的同时取送货车辆路径问题. 《控制理论与应用》.
166. 肖勇，郑楷洪，王鑫，钱斌，孙凌云（2021）. 基于联合神经网络学习的中文电力计量命名实体识别. 《浙江大学学报(理学版)》.
167. 赵云，肖勇，钱斌，杨劲锋，金鑫（2021）. 低压台区电力自动抄表系统异常运行预警方法. 《自动化技术与应用》.
168. 罗文冲，钱斌，胡蓉，张长胜，向凤红（2021）. 超启发式交叉熵算法求解分布式装配柔性作业车间调度问题. 《控制理论与应用》.
169. Nai-Kang Yu, Wen Jiang, Rong Hu, Bin Qian, Ling Wang (2021). Learning Whale Optimization Algorithm for Open Vehicle Routing Problem with Loading Constraints. Discrete Dynamics in Nature and Society.DOI
170. Huaiping Jin, Huaiping Jin, Lixian Shi, X Chen, Bin Qian, B Yang, Huaikang Jin, Huaikang Jin (2021). Probabilistic wind power forecasting using selective ensemble of finite mixture Gaussian process regression models. Renewable Energy.DOI
171. Lingchong Zhong, Wenfeng Li, Bin Qian, Lijun He (2021). Improved discrete cuckoo‐search algorithm for mixed no‐idle permutation flow shop scheduling with consideration of energy consumption. IET Collaborative Intelligent Manufacturing.DOI
172. Huaiping Jin, Zheng Li, Xiangguang Chen, Bin Qian, Biao Yang, Jianwen Yang (2021). Evolutionary optimization based pseudo labeling for semi-supervised soft sensor development of industrial processes. Chemical Engineering Science.DOI
173. Chao Deng, Rong Hu, Bin Qian, Huaiping Jin (2021). Hybrid Estimation of Distribution Algorithm for Solving Three‐Stage Multiobjective Integrated Scheduling Problem. Complexity.DOI
174. Wen Jiang, Rong Hu, Bin Qian, Nai-Kang Yu, Bo Liu (2021). Hybrid Whale Optimization Algorithm for Solving Green Open Vehicle Routing Problem with Time Windows. Lecture notes in computer science.DOI
175. Nai-Kang Yu, Rong Hu, Bin Qian, Ling Wang (2021). An Improved Lagrangian Relaxation Algorithm for Solving the Lower Bound of Production Logistics. Lecture notes in computer science.DOI
176. Nan Li, Rong Hu, Bin Qian, Nai-Kang Yu, Ling Wang (2021). Hybrid Grey Wolf Optimizer for Vehicle Routing Problem with Multiple Time Windows. Lecture notes in computer science.DOI
177. Sen Zhang, Rong Hu, Bin Qian, Zi-Qi Zhang, Ling Wang (2021). Multidimensional Estimation of Distribution Algorithm for Distributed No-Wait Flow-Shop Scheduling Problem with Sequence-Independent Setup Times and Release Dates. Lecture notes in computer science.DOI
178. Ao Liu, Jiang-Nan Li, Yiying Che, Bin Qian, Mi Zhou, Fusheng Li (2021). Short-Term Power Load Forecasting via Recurrent Neural Network with Similar Day Selection. 2021 IEEE International Conference on Data Science and Computer Application (ICDSCA).DOI
179. 王吉，柴志超，胡珊珊，钱斌，王玲，颜湘武，刘子胜（2020）. 用于非车载充电机现场测试的能馈型充电负载方案. 《南方电网技术》.
180. 刘亮，苏盛，钱斌，蔡梓文，肖勇（2020）. 计量自动化系统卫星时间同步攻击危害与防护. 《南方电网技术》.DOI
181. 佘明哲，钱斌，胡蓉，吴丽萍，向凤红（2020）. 混合交叉熵算法求解模糊分布式装配流水线低碳调度问题. 《控制理论与应用》.
182. 李尚函，胡蓉，钱斌，张梓琪，金怀平（2020）. 超启发式遗传算法求解模糊柔性作业车间调度. 《控制理论与应用》.
183. 邓超，胡蓉，钱斌（2020）. 混合分布估计算法求解考虑同步性和准时性的三阶段装配集成调度问题. 《控制理论与应用》.
184. 何雨洁，钱斌，胡蓉（2020）. 混合离散教与学算法求解复杂并行机调度问题. 《自动化学报》.DOI
185. 邓超，钱斌，胡蓉，王凌，孙在省（2020）. 融合规则的HEDA求解带工件批量运输的三阶段装配集成调度问题. 《控制与决策》.DOI
186. 钱斌，蔡梓文，肖勇，张恒，彭曙蓉，苏盛，曹一家（2020）. 电力系统时间同步攻击研究综述. 《电网技术》.DOI
187. 肖勇，喻洁，张新森，钱斌，王岩，张彤彤（2020）. 泛在电力物联网下用户侧分布式电源P2P优化调度研究. 《应用数学和力学》.
188. Rong Hu, Xing Wu, Bin Qian, Jian Lin Mao, Huaiping Jin (2020). An Enhanced Differential Evolution Algorithm with Fast Evaluating Strategies for TWT-NFSP with SSTs and RTs. Complexity.DOI
189. Ning Guo, Bin Qian, Rong Hu, Huaiping Jin, Feng Hong Xiang (2020). A Hybrid Ant Colony Optimization Algorithm for Multi-Compartment Vehicle Routing Problem. Complexity.DOI
190. Yuming Dong, Bin Qian, Rong Hu, Youjie Yao (2020). Hybrid Pathfinder Algorithm for FSSP with Limited Buffers under Time-of-Use Electricity Prices. Youth Academic Annual Conference of Chinese Association of Automation (YAC).DOI
191. Zi-Qi Zhang, Bin Qian, Rong Hu, Huaiping Jin, Ling Wang (2020). A matrix-cube-based estimation of distribution algorithm for the distributed assembly permutation flow-shop scheduling problem. Swarm and Evolutionary Computation.DOI
192. Huaiping Jin, Jiangang Li, Meng Wang, Bin Qian, Biao Yang, Zheng Li, Lixian Shi (2020). Ensemble Just-In-Time Learning-Based Soft Sensor for Mooney Viscosity Prediction in an Industrial Rubber Mixing Process. Advances in Polymer Technology.DOI
193. 谷慧敏，钱斌，胡蓉，王凌，车国霖（2019）. 混合鲸鱼优化算法求解开放车间调度问题. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
194. 钱斌，蔡梓文，肖勇，杨劲锋，廖年冬，苏盛（2019）. 基于模糊推理的计量自动化系统网络安全态势感知. 《南方电网技术》.DOI
195. 李洋，胡蓉，钱斌，金怀平，向凤红（2019）. 两阶段算法求解带时间窗的绿色多车场车辆路径问题. 《第30届中国过程控制会议（CPCC 2019）摘要集》.
196. 杨晓林，胡蓉，钱斌，吴丽萍（2019）. 增强分布估计算法求解低碳分布式流水线调度. 《控制理论与应用》.
197. Zonglei Li, Bin Qian, Rong Hu, Leilei Chang, Jian‐Bo Yang (2019). An elitist nondominated sorting hybrid algorithm for multi-objective flexible job-shop scheduling problem with sequence-dependent setups. Knowledge-Based Systems.DOI
198. Bei Pan, Huaiping Jin, Li Wang, Bin Qian, Xiangguang Chen, Si Yu Huang, Jiangang Li (2019). Just-in-time learning based soft sensor with variable selection and weighting optimized by evolutionary optimization for quality prediction of nonlinear processes. Process Safety and Environmental Protection.DOI
199. A.F. Yang, Bin Qian, Rong Hu, Ling Wang, Shang-Han Li (2019). Single-Machine Green Scheduling Problem of Multi-speed Machine. Lecture notes in computer science.DOI
200. Yang Li, Bin Qian, Rong Hu, Liping Wu, Bo Liu (2019). Two-Stage Algorithm for Solving Multi-depot Green Vehicle Routing Problem with Time Window. Lecture notes in computer science.DOI
201. Yi-Fan Zheng, Rong Hu, Bin Qian, Ling Wang, Fenghong Xiang (2019). Hybrid Cross-entropy Algorithm for Mixed Model U-shaped Assembly Line Balancing Problem. Lecture notes in computer science.DOI
202. H. Gu, Rong Hu, Bin Qian, Huaiping Jin, Ling Wang (2019). Whale Optimization Algorithm with Local Search for Open Shop Scheduling Problem to Minimize Makespan. Lecture notes in computer science.DOI
203. Bei Pan, Huaiping Jin, Biao Yang, Bin Qian, Zhengang Zhao (2019). Soft Sensor Development for Nonlinear Industrial Processes Based on Ensemble Just-in-Time Extreme Learning Machine through Triple-Modal Perturbation and Evolutionary Multiobjective Optimization. Industrial & Engineering Chemistry Research.DOI
204. Huaiping Jin, Bei Pan, Xiangguang Chen, Bin Qian (2018). Ensemble just-in-time learning framework through evolutionary multi-objective optimization for soft sensor development of nonlinear industrial processes. Chemometrics and Intelligent Laboratory Systems.DOI
205. Changsheng Zhang, Wei Li, Biaofa Chen, Bin Qian, Rong Hu, Chuan Li (2018). Inverse Solution of Planar Redundant Manipulator Based on Cuckoo Search Algorithm with Dynamic Step Size Regulating. Advances in intelligent systems and computing.DOI
206. Yuanyuan Huang, Bin Qian, Rong Hu, Zi-Qi Zhang, Zhu Xiao-hong (2018). Hybrid EDA for solving distributed heterogeneous parallel machine scheduling problem. Youth Academic Annual Conference of Chinese Association of Automation (YAC).DOI
207. Yu Zhou, Leilei Chang, Bin Qian (2018). A belief-rule-based model for information fusion with insufficient multi-sensor data and domain knowledge using evolutionary algorithms with operator recommendations. Soft Computing.DOI
208. Zaixing Sun, Rong Hu, Bin Qian, Bo Liu, Guo-Lin Che (2018). Salp Swarm Algorithm Based on Blocks on Critical Path for Reentrant Job Shop Scheduling Problems. Lecture notes in computer science.DOI
209. Lingchong Zhong, Bin Qian, Rong Hu, Changsheng Zhang (2018). The Hybrid Shuffle Frog Leaping Algorithm Based on Cuckoo Search for Flow Shop Scheduling with the Consideration of Energy Consumption. Lecture notes in computer science.DOI
210. Youjie Yao, Bin Qian, Rong Hu, Ling Wang, Fenghong Xiang (2018). Carbon-Efficient Scheduling of Blocking Flow Shop by Hybrid Quantum-Inspired Evolution Algorithm. Lecture notes in computer science.DOI
211. Honglin Zhang, Bin Qian, Zaixing Sun, Rong Hu, Bo Liu, Ning Guo (2018). Single-Machine Green Scheduling to Minimize Total Flow Time and Carbon Emission. Lecture notes in computer science.DOI
212. Ziqi Zhang, Bin Qian, Bo Liu, Rong Hu, Chang-Sheng Zhang (2018). Hybrid Estimation of Distribution Algorithm for Blocking Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times. Lecture notes in computer science.DOI
213. Rong Hu, Qinli Zhang, Bin Qian, Leilei Chang, Zhijie Zhou (2018). An Effective Soft‐Sensor Method Based on Belief‐Rule‐Base and Differential Evolution for Tipping Paper Permeability Measurement. Complexity.DOI
214. Yujie He, Bin Qian, Bo Liu, Rong Hu, Chao Deng (2018). Hybrid Discrete Teaching-Learning-Based Optimization Algorithm for Solving Parallel Machine Scheduling Problem with Multiple Constraints. Lecture notes in computer science.DOI
215. Nai-Kang Yu, Rong Hu, Bin Qian, Ziqi Zhang, Ling Wang (2018). Improved Sub-gradient Algorithm for Solving the Lower Bound of No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates. Lecture notes in computer science.DOI
216. 李子辉，钱斌，方德斌，胡蓉，张桂莲（2017）. 求解一类柔性装配流水车间调度问题的混合分布估计算法. 《管理工程学报》, Vol. 31, No. 4.下载原文
217. 杜傲然，钱斌，胡蓉，张长胜，王凌（2017）. 一种改进的“教”与“学”优化算法求解带序相关设置时间和释放时间的零等待流水车间绿色调度问题. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
218. 张振磊，摆亮，胡蓉，钱斌，车国霖（2017）. 求解带有序相关设置时间的零等待分布式工厂的自适应分布估计算法. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
219. 王垒，摆亮，钱斌，胡蓉，祝晓红（2017）. 基于混合分布估计算法求解带有限缓冲区的分布式置换流水线调度问题. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
220. 谢正明，钱斌，胡蓉，向凤红，王凌（2017）. 基于贝叶斯统计的分布估计算法求解带交货期的多目标可重入作业车间绿色调度问题. 《第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年》.
221. 沈童，钱斌，张道远（2017）. 多输出非线性系统在数据截断协议下的时滞多采样率输出反馈镇定（英文）. 《控制理论与应用》.
222. Bin Qian, Qianqian Wang, Rong Hu, Zhi-Jie Zhou, Chuan-Qiang Yu, Zhi-Guo Zhou (2017). An effective soft computing technology based on belief-rule-base and particle swarm optimization for tipping paper permeability measurement. Journal of Ambient Intelligence and Humanized Computing.DOI
223. Bin Qian, Zuocheng Li, Rong Hu (2017). A copula-based hybrid estimation of distribution algorithm for m-machine reentrant permutation flow-shop scheduling problem. Applied Soft Computing.DOI
224. 张勤莉，胡蓉，周志杰，钱斌（2016）. 基于改进差分进化算法的置信规则库参数优化. 《第27届中国过程控制会议（CPCC2016）》.
225. Jinxi Zhao, Bin Qian, Rong Hu, Changsheng Zhang, Zihui Li (2016). An Improved Quantum-Inspired Evolution Algorithm for No-Wait Flow Shop Scheduling Problem to Minimize Makespan. Lecture notes in computer science.DOI
226. Ziqi Zhang, Bin Qian, Rong Hu, Chang-Sheng Zhang, Zihui Li (2016). Hybrid Estimation of Distribution Algorithm for No-Wait Flow-Shop Scheduling Problem with Sequence-Dependent Setup Times and Release Dates. Lecture notes in computer science.DOI
227. 李子辉，钱斌，胡蓉，张长胜（2015）. 自适应混合EDA求解一类三阶段装配流水线调度问题. 《计算机集成制造系统》.
228. 曹高立，胡蓉，钱斌，吴丽萍（2015）. 一种有效混合量子进化算法求解带容量约束的车辆路径优化问题. 《计算机集成制造系统》.
229. 孟祥虎，胡蓉，钱斌（2014）. 求解带时间窗车辆路径问题的有效混合PBIL算法. 《系统工程理论与实践》, Vol. 34, No. 10.下载原文
230. Xianghu Meng, Jun Li, Bin Qian, MengChu Zhou, Xianzhong Dai (2014). Improved population-based incremental learning algorithm for vehicle routing problems with soft time windows. IEEE International Conference on Networking, Sensing and Control (ICNSC).DOI
231. Shaofeng Chen, Bin Qian, Bo Liu, Rong Hu, Changsheng Zhang (2014). Bayesian Statistical Inference-Based Estimation of Distribution Algorithm for the Re-entrant Job-Shop Scheduling Problem with Sequence-Dependent Setup Times. Lecture notes in computer science.DOI
232. Shaofeng Chen, Bin Qian, Rong Hu, Zuocheng Li (2014). An Enhanced Estimation of Distribution Algorithm for No-Wait Job Shop Scheduling Problem with Makespan Criterion. Lecture notes in computer science.DOI
233. 蔡德福，钱斌，陈金富，姚美齐（2013）. 含电动汽车充电负荷和风电的电力系统动态概率特性分析. 《电网技术》.
234. 李作成，钱斌，胡蓉，向凤红，车国霖（2013）. 求解一类异构并行机调度问题的分布估计算法. 《计算机集成制造系统》.DOI
235. Bin Qian, Z. H. Li, Rong Hu, Cen Zhang (2013). A hybrid differential evolution algorithm for the multi-objective reentrant job-shop scheduling problem. International Conference on Control and Automation.DOI
236. Bo Liu, Juan-Juan Xu, Bin Qian, Jianrong Wang, Yan-Bin Chu (2013). Probabilistic memetic algorithm for flowshop scheduling.DOI
237. Bin Qian, Jing Wan, Bo Liu, Rong Hu, Guo-Lin Che (2013). A DE-based algorithm for reentrant permutation flow-shop scheduling with different job reentrant times.DOI
238. Zuo Cheng Li, Bin Qian, Rong Hu, Xiao Hong Zhu (2013). A Hybrid Population-Based Incremental Learning Algorithm for M-Machine Reentrant Permutation Flow-Shop Scheduling. Advanced materials research.DOI
239. Zuocheng Li, Bin Qian, Rong Hu, Changsheng Zhang, Kun Li (2013). A Self-adaptive Hybrid Population-Based Incremental Learning Algorithm for M-Machine Reentrant Permutation Flow-Shop Scheduling. Lecture notes in computer science.DOI
240. Bin Qian, Hua Bing Zhou, Rong Hu, Li Wu (2012). A Novel Differential Evolution Algorithm for TWET-NFSSP with SDSTs and RDs. Advanced engineering forum.DOI
241. Bin Qian, Puze Du, Rong Hu, Guolin Che (2012). A differential evolution algorithm with two speed-up methods for NFSSP with SDSTs and RDs. World Congress on Intelligent Control and Automation.DOI
242. Rong Hu, Xianghu Meng, Bin Qian, Kun Li (2012). A Differential Evolution Approach for NTJ-NFSSP with SDSTs and RDs. Lecture notes in computer science.DOI
243. Bin Qian, Hua-Bin Zhou, Rong Hu, Fenghong Xiang (2011). Hybrid Differential Evolution Optimization for No-Wait Flow-Shop Scheduling with Sequence-Dependent Setup Times and Release Dates. Lecture notes in computer science.DOI
244. Bo Liu, Ling Wang, Ying Liu, Bin Qian, Yihui Jin (2010). An effective hybrid particle swarm optimization for batch scheduling of polypropylene processes. Computers & Chemical Engineering.DOI
245. Quan-Ke Pan, Ling Wang, Bin Qian (2009). A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems. Computers & Operations Research, Vol. 36, No. 8.DOI
246. 钱斌，王凌，黄德先，江永亨，王雄（2009）. 动态零等待流水线调度问题的滚动策略及优化算法. 《控制与决策》.DOI
247. 胡蓉，钱斌（2009）. 一种求解随机有限缓冲区流水线调度的混合差分进化算法. 《自动化学报》.
248. Bin Qian, Li-Yan Wang, Rong Hu, Dexian Huang, X. Wang (2009). A DE-based approach to no-wait flow-shop scheduling. Computers & Industrial Engineering.DOI
249. Bin Qian (2009). A Hybrid Differential Evolution Algorithm for Stochastic Flow Shop Scheduling with Limited Buffers. Acta Automatica Sinica.
250. Bin Qian, Ling Wang, Dexian Huang, Xiong Wang (2008). Multi-objective no-wait flow-shop scheduling with a memetic algorithm based on differential evolution. Soft Computing.DOI
251. Bin Qian, Li-Yan Wang, Dexian Huang, X. Wang (2008). An effective hybrid DE-based algorithm for flow shop scheduling with limited buffers. International Journal of Production Research.DOI
252. Qian Bin, Yang Wanlin, Wan Qun (2007). Joint DOA and time delay estimation method for space-time coherent distributed signals based on search. Journal Of Systems Engineering And Electronics, Vol. 180, No. 20.
253. Bin Qian, Ling Wang, Rong Hu, Wanliang Wang, Dexian Huang, Xiong Wang (2007). A hybrid differential evolution method for permutation flow-shop scheduling. The International Journal of Advanced Manufacturing Technology.DOI

预印本

1. Ning Guo, MingFeng Lin, Bin Qian, Jing Na, Rong Hu, Jian‐Bo Yang (2026). A Clustering-based adaptive large neighborhood search for the two-echelon heterogeneous multi-compartment vehicle routing problem with direct deliveries and soft time windows. SSRN Electronic Journal.DOI
2. Zaixing Sun, Bin Qian, Rong Hu, Qingbo Wu, Bo Wang, Fan Zhang, Yi Mei (2026). A Hybrid Bayesian Evolutionary Algorithm with Block Properties for Energy-Constrained Speed-Scalable Reentrant Job Shop Scheduling. SSRN Electronic Journal.DOI
3. Feng-Shun Zhou, Rong Hu, Wen-Bing Zhang, Bin Qian, Zi-Qi Zhang, Ling Wang (2025). Spatial Decomposition-Based Variable Neighborhood Search Algorithm for the Semiconductor Backend Production and Distribution Integrated Scheduling Problem. SSRN Electronic Journal.DOI
4. Zhangsheng Su, Chao Deng, Bin Qian, Wenbo Wang, Kai Zhang (2024). Heuristic Algorithm with Rule Fitting and Filtering Mechanism for the Multi-Stage Assembly Scheduling Problem Under Multiple Constraints. SSRN Electronic Journal.DOI
5. Yan-Xuan Xu, Ziqi Zhang, Han Li, Bin Qian, Biao Yang, Rong Hu (2024). A Knowledge-Driven Cooperative Estimation of Distribution Algorithm for Energy-Efficient Reconfigurable Distributed Flowshop Group Scheduling Problem. SSRN Electronic Journal.DOI
6. Bin Qian, Fei-Long Feng, Nai-Kang Yu, Rong Hu, Yu‐Wang Chen (2023). An Nadmm_Vns for Electric Vehicle Routing Problem with Time Windows and Recharging Station. SSRN Electronic Journal.DOI
7. Bin Qian, Xianlin Feng, Nai-Kang Yu, Rong Hu, Yu‐Wang Chen (2023). Two-Stage Joint Optimization for the Crowd-Sourced Delivery Problem with Maximum Detour Distance. SSRN Electronic Journal.DOI