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2020 – today
- 2023
[j13]Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Hui Zhang, Jianhui Mou:
A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers. Appl. Soft Comput. 144: 110491 (2023)- [j12]Jiaming Su, Yaping Fu, Kaizhou Gao
, Hongyu Dong, Jianhui Mou:
Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing. Swarm Evol. Comput. 83: 101373 (2023) - [j11]Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh:
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. IEEE Trans. Intell. Transp. Syst. 24(4): 4509-4518 (2023) - [j10]Jianhui Mou, Kaizhou Gao, Peiyong Duan, Junqing Li, Akhil Garg, Rohit Sharma:
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances. IEEE Trans. Intell. Transp. Syst. 24(12): 15527-15539 (2023) - 2022
- [j9]Jianhui Mou, Peiyong Duan, Liang Gao, Xinhua Liu, Junqing Li:
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling. Future Gener. Comput. Syst. 128: 521-537 (2022) - [j8]Biao Zhang, Quan-Ke Pan, Leilei Meng, Chao Lu, Jianhui Mou, Junqing Li:
An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots. Knowl. Based Syst. 238: 107819 (2022) - [j7]Chao Lu, Biao Zhang, Liang Gao, Jin Yi, Jianhui Mou:
A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds. IEEE Syst. J. 16(1): 844-855 (2022) - [j6]Junqing Li, Xiaolong Chen, Pei-Yong Duan, Jianhui Mou:
KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System. IEEE Trans. Ind. Informatics 18(8): 5318-5329 (2022)
2010 – 2019
- 2019
- [j5]Jianhui Mou, Liang Gao, Qianjian Guo, Rufeng Xu, Xinyu Li:
Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems. Neural Comput. Appl. 31(9): 4595-4612 (2019) - 2018
- [j4]Jianhui Mou, Xinyu Li, Liang Gao, Wenchao Yi:
An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems. J. Intell. Manuf. 29(4): 789-807 (2018) - 2017
- [j3]Jianhui Mou, Liang Gao, Xinyu Li, Quanke Pan, Jiancai Mu:
Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times. Clust. Comput. 20(1): 371-390 (2017) - [j2]Jianhui Mou, Liang Gao, Qianjian Guo, Jiancai Mu:
A hybrid heuristic algorithm for flowshop inverse scheduling problem under a dynamic environment. Clust. Comput. 20(1): 439-453 (2017) - 2016
- [j1]Wenchao Yi, Yinzhi Zhou, Liang Gao, Xinyu Li, Jianhui Mou:
An improved adaptive differential evolution algorithm for continuous optimization. Expert Syst. Appl. 44: 1-12 (2016)
Coauthor Index
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