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2020 – today
- 2024
[j45]Yong Sun
, Jianzhong Wang, Hongfeng Wang, Sheng Zhang, Yu You, Zibo Yu, Yiguo Peng:
Fused-IoU Loss: Efficient Learning for Accurate Bounding Box Regression. IEEE Access 12: 37363-37377 (2024)- [j44]Yushuang Hou, Hongfeng Wang, Xiaoliang Huang:
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems. Eng. Appl. Artif. Intell. 127(Part A): 107434 (2024) - [j43]Qi Yan, Hongfeng Wang:
Synchronisation of operations and maintenance in distributed unrelated parallel machine systems: a hierarchical optimisation framework. Enterp. Inf. Syst. 18(7) (2024) - [j42]Siming Cao, Hongfeng Wang, Yingjie Guo, Weidong Zhu, Yinglin Ke:
A method for predicting relative position errors in dual-robot systems via knowledge transfer from geometric and nongeometric calibration. Ind. Robot 51(2): 314-325 (2024) - [j41]Yaping Fu, Xiaomeng Ma, Kaizhou Gao, Hongfeng Wang, Ali Sadollah, L. Y. Chen:
Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints. Swarm Evol. Comput. 85: 101484 (2024) - [j40]Wenbo Hu, Hongfeng Wang, Junwei Wang:
Joint Optimizing High-Speed Cruise Control and Multi-Hop Communication in Platoons: A Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 25(11): 18396-18407 (2024) - [c16]Yifeng Wang, Mengyao Ji, Yaping Fu, Hongfeng Wang, Kaizhou Gao:
A Q-learning-Based Meta-heuristic Algorithm for Open Shop Scheduling Considering Group and Transportation Activities. CASE 2024: 2918-2923 - [c15]Liqun Wen, Hongfeng Wang:
A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems. CEC 2024: 1-8 - 2023
- [j39]Yushuang Hou, Hongfeng Wang, Yaping Fu, Kaizhou Gao, Hui Zhang:
Multi-Objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness. Comput. Ind. Eng. 179: 109217 (2023) - [j38]Yanhe Jia, Qi Yan, Hongfeng Wang:
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance. Expert Syst. Appl. 232: 120837 (2023) - [j37]Hongfeng Wang, Qi Yan, Junwei Wang:
Blockchain-secured multi-factory production with collaborative maintenance using Q learning-based optimisation approach. Int. J. Prod. Res. 61(11): 3685-3702 (2023) - [j36]Zhenpeng Ge, Hongfeng Wang:
Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer. Symmetry 15(8): 1600 (2023) - [c14]Haiyue Zhu, Qingda Chen, Jinliang Ding, Xingyi Zhang, Hongfeng Wang:
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm. SSCI 2023: 470-475 - 2022
- [j35]Qi Yan, Hongfeng Wang, Fang Wu:
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm. Comput. Oper. Res. 144: 105823 (2022) - [j34]Hongfeng Wang, Jianzhong Wang, Haonan Xu, Yong Sun, Zibo Yu:
DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion. Sensors 22(14): 5149 (2022) - [j33]Qi Yan, Hongfeng Wang:
Double-Layer Q-Learning-Based Joint Decision-Making of Dual Resource-Constrained Aircraft Assembly Scheduling and Flexible Preventive Maintenance. IEEE Trans. Aerosp. Electron. Syst. 58(6): 4938-4952 (2022) - [c13]Yaping Fu, Yushuang Hou, Xiwang Guo, Liang Qi, Hongfeng Wang:
Scheduling a Permutation Flow Shop in the Context of Industry 4.0. ICNSC 2022: 1-6 - 2021
- [j32]Hongfeng Wang, Qi Yan, Shuzhu Zhang:
Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach. Adv. Eng. Informatics 49: 101339 (2021) - [j31]Yafei Li, Hongfeng Wang, Li Li, Yaping Fu:
Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System. Complex. 2021: 6670288:1-6670288:15 (2021) - [j30]Kemeng Bai, Jianzhong Wang, Hongfeng Wang:
A Pupil Segmentation Algorithm Based on Fuzzy Clustering of Distributed Information. Sensors 21(12): 4209 (2021) - [j29]Hongfeng Wang, Jianzhong Wang, Kemeng Bai, Yong Sun:
Centered Multi-Task Generative Adversarial Network for Small Object Detection. Sensors 21(15): 5194 (2021) - [j28]Yaping Fu, Hongfeng Wang, Junwei Wang, Xujin Pu:
Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness. IEEE Syst. J. 15(3): 4696-4707 (2021) - 2020
- [j27]Dazhi Wang, Yanhua Chen, Hongfeng Wang, Min Huang:
Formulation of the Non-Parametric Value at Risk Portfolio Selection Problem Considering Symmetry. Symmetry 12(10): 1639 (2020)
2010 – 2019
- 2019
- [j26]Yafei Li, Hongfeng Wang, Yingying Li, Li Li:
Patient assignment scheduling in a cloud healthcare system based on petri net and greedy-based heuristic. Enterp. Inf. Syst. 13(4): 515-533 (2019) - [j25]Yaping Fu, Hongfeng Wang, Min Huang:
Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model. Enterp. Inf. Syst. 13(4): 557-573 (2019) - [j24]Yaping Fu, Hongfeng Wang, Guangdong Tian, Zhiwu Li, Hesuan Hu:
Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm. J. Intell. Manuf. 30(5): 2257-2272 (2019) - [j23]Hongfeng Wang, Min Huang, Junwei Wang:
An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs. J. Intell. Manuf. 30(7): 2733-2742 (2019) - [j22]Yaping Fu, Hongfeng Wang, Min Huang, Junwei Wang:
A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem. Nat. Comput. 18(4): 757-768 (2019) - [j21]Junwei Wang, Hongfeng Wang, Y. M. Zhou, Y. Wang, Wen-Jun Zhang:
On an integrated approach to resilient transportation systems in emergency situations. Nat. Comput. 18(4): 815-823 (2019) - [c12]Sibo Feng, Xiaodan Deng, Ping Guo, Bo Zhao, Qian Yin, Hongfeng Wang:
An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm. SMC 2019: 1893-1898 - 2018
- [j20]Yaping Fu, Jinliang Ding, Hongfeng Wang, Junwei Wang:
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system. Appl. Soft Comput. 68: 847-855 (2018) - 2017
- [j19]Hongfeng Wang, Yaping Fu, Min Huang, George Q. Huang, Junwei Wang:
A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem. Comput. Ind. Eng. 113: 185-194 (2017) - [j18]Hongfeng Wang, Yaping Fu, Min Huang, George Q. Huang, Junwei Wang:
A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems. Soft Comput. 21(20): 5975-5987 (2017) - [c11]Dayang Wang, Qian Yin, Hongfeng Wang:
Weighting Features Before Applying Machine Learning Methods to Pulsar Search. IFIP TC12 ICIS 2017: 241-247 - 2016
- [j17]Junwei Wang, Hongfeng Wang, J. L. Ding, Kazuo Furuta, Taro Kanno, Andrew W. H. Ip, Wenjun Zhang:
On domain modelling of the service system with its application to enterprise information systems. Enterp. Inf. Syst. 10(1): 1-16 (2016) - [j16]Hongfeng Wang, Yaping Fu, Min Huang, Junwei Wang:
Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs. Enterp. Inf. Syst. 10(3): 268-285 (2016) - [j15]Jinliang Ding, Tianyou Chai, Hongfeng Wang, Junwei Wang, Xiuping Zheng:
An intelligent factory-wide optimal operation system for continuous production process. Enterp. Inf. Syst. 10(3): 286-302 (2016) - [j14]Hai Zhu, Hongfeng Wang:
New Deadline-Aware Energy-Consumption Optimization Model and Genetic Algorithm Under Cloud Computing. Int. J. Pattern Recognit. Artif. Intell. 30(3): 1659006:1-1659006:18 (2016) - [j13]Junwei Wang, Raja R. Muddada, Hongfeng Wang, Jinliang Ding, Yingzi Lin, Changli Liu, Wen-Jun Zhang:
Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction. IEEE Syst. J. 10(2): 410-421 (2016) - [c10]Hao Li, Hai Zhu, Guoheng Ren, Hongfeng Wang, Hong Zhang, Liyong Chen:
Energy-Aware Scheduling of Workflow in Cloud Center with Deadline Constraint. CIS 2016: 415-418 - 2015
- [j12]Hongfeng Wang, Hongyan Wang:
Robust Waveform Optimization for MIMO Radar to Improve the Worst-Case Detection Performance. J. Commun. 10(12): 983-989 (2015) - [j11]Hongfeng Wang, Hai Zhu:
采用遗传-退火算法的网格依赖任务可信调度 (Trusted Scheduling of Dependent Tasks Using Genetic-annealing Algorithm under Grid Environment). 计算机科学 42(6): 268-275 (2015) - [c9]Hongfeng Wang, Yaping Fu, Min Huang:
A species based multiobjective evolutionary algorithm for multiobjective flow shop scheduling problem. CEC 2015: 3243-3247 - 2014
- [j10]Junwei Wang, Hongfeng Wang, Wenjun Zhang, Wai-Hung Ip, Kazuo Furuta:
On a Unified Definition of the Service System: What is its Identity? IEEE Syst. J. 8(3): 821-826 (2014) - [c8]Yaping Fu, Hongfeng Wang, Min Huang:
Locate Multiple Pareto Optima Using a Species-Based Multi-objective Genetic Algorithm. BIC-TA 2014: 128-137 - [c7]Hai Zhu, Xiaoli Wang, Hongfeng Wang:
A New Model for Energy Consumption Optimization under Cloud Computing and its Genetic Algorithm. CIS 2014: 7-11 - 2013
- [j9]Junwei Wang, Hongfeng Wang, Wenjun Zhang, W. H. Ip, Kazuo Furuta:
Evacuation Planning Based on the Contraflow Technique With Consideration of Evacuation Priorities and Traffic Setup Time. IEEE Trans. Intell. Transp. Syst. 14(1): 480-485 (2013) - 2012
- [j8]Kyungdaw Kang, Ilkyeong Moon, Hongfeng Wang:
A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem. Appl. Math. Comput. 219(3): 1287-1299 (2012) - [j7]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems. Int. J. Syst. Sci. 43(7): 1268-1283 (2012) - [j6]Hongfeng Wang, Ilkyeong Moon, Shengxiang Yang, Dingwei Wang:
A memetic particle swarm optimization algorithm for multimodal optimization problems. Inf. Sci. 197: 38-52 (2012) - 2010
- [j5]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
A particle swarm optimization based memetic algorithm for dynamic optimization problems. Nat. Comput. 9(3): 703-725 (2010) - [c6]Hongfeng Wang, Yanjie Chen:
A hybrid genetic algorithm for 3D bin packing problems. BIC-TA 2010: 703-707
2000 – 2009
- 2009
- [j4]Chun-Ho Wu, Dazhi Wang, Andrew W. H. Ip, Dingwei Wang, Ching-Yuen Chan, Hongfeng Wang:
A particle swarm optimization approach for components placement inspection on printed circuit boards. J. Intell. Manuf. 20(5): 535-549 (2009) - [j3]Chun-Ho Wu, Dazhi Wang, Andrew W. H. Ip, Dingwei Wang, Ching-Yuen Chan, Hongfeng Wang:
A particle swarm optimization approach for components placement inspection on printed circuit boards. J. Intell. Manuf. 20(5): 551 (2009) - [j2]Hongfeng Wang, Dingwei Wang, Shengxiang Yang:
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems. Soft Comput. 13(8-9): 763-780 (2009) - [j1]Hongfeng Wang, Shengxiang Yang, W. H. Ip, Dingwei Wang:
Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments. IEEE Trans. Syst. Man Cybern. Part B 39(6): 1348-1361 (2009) - 2008
- [c5]Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang Yang, Dazhi Wang:
A multi-agent based evolutionary algorithm in non-stationary environments. IEEE Congress on Evolutionary Computation 2008: 2967-2974 - 2007
- [c4]Hongfeng Wang, Dingwei Wang, Shengxiang Yang:
Triggered Memory-Based Swarm Optimization in Dynamic Environments. EvoWorkshops 2007: 637-646 - 2006
- [c3]Hongfeng Wang, Dingwei Wang:
An Improved Primal-Dual Genetic Algorithm for Optimization in Dynamic Environments. ICONIP (3) 2006: 836-844 - 2004
- [c2]Lu Gao, Hongmin Yu, Hongfeng Wang, Sumei Zhang:
The System Design of Military Equipment Digital Library. ICADL 2004: 685-686 - 2002
- [c1]Lijuan Zhou, Chi Liu, Hongfeng Wang, Daxin Liu:
Selection of views to materialize using simulated annealing algorithms. Data Mining and Knowledge Discovery: Theory, Tools, and Technology 2002: 29-33
Coauthor Index
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