Jianhui Mou

According to our database, Jianhui Mou authored at least 13 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.

Jianhui Mou, Kaizhou Gao, Peiyong Duan, Junqing Li, Akhil Garg, Rohit Sharma

IEEE Trans. Intell. Transp. Syst., December, 2023

Integrated scheduling problems of open shop and vehicle routing using an ensemble of group teaching optimization and simulated annealing.

Jiaming Su, Yaping Fu, Kaizhou Gao, Hongyu Dong, Jianhui Mou

Swarm Evol. Comput., December, 2023

A knowledge-based multi-objective evolutionary algorithm for solving home health care routing and scheduling problems with multiple centers.

Xiaomeng Ma, Yaping Fu, Kaizhou Gao, Hui Zhang, Jianhui Mou

Appl. Soft Comput., September, 2023

Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.

Jianhui Mou, Peiyong Duan, Liang Gao, Quanke Pan, Kaizhou Gao, Amit Kumar Singh

IEEE Trans. Intell. Transp. Syst., April, 2023

2022

KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System.

Junqing Li, Xiaolong Chen, Pei-Yong Duan, Jianhui Mou

IEEE Trans. Ind. Informatics, 2022

A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds.

Chao Lu, Biao Zhang, Liang Gao, Jin Yi, Jianhui Mou

IEEE Syst. J., 2022

An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots.

Biao Zhang, Quan-Ke Pan, Leilei Meng, Chao Lu, Jianhui Mou, Junqing Li

Knowl. Based Syst., 2022

An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling.

Jianhui Mou, Peiyong Duan, Liang Gao, Xinhua Liu, Junqing Li

Future Gener. Comput. Syst., 2022

2019

Hybrid optimization algorithms by various structures for a real-world inverse scheduling problem with uncertain due-dates under single-machine shop systems.

Jianhui Mou, Liang Gao, Qianjian Guo, Rufeng Xu, Xinyu Li

Neural Comput. Appl., 2019

2018

An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems.

Jianhui Mou, Xinyu Li, Liang Gao, Wenchao Yi

J. Intell. Manuf., 2018

2017

Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times.

Jianhui Mou, Liang Gao, Xinyu Li, Quanke Pan, Jiancai Mu

Clust. Comput., 2017

A hybrid heuristic algorithm for flowshop inverse scheduling problem under a dynamic environment.

Jianhui Mou, Liang Gao, Qianjian Guo, Jiancai Mu

Clust. Comput., 2017

2016

An improved adaptive differential evolution algorithm for continuous optimization.

Wenchao Yi, Yinzhi Zhou, Liang Gao, Xinyu Li, Jianhui Mou

Expert Syst. Appl., 2016