An improved adaptive differential evolution algorithm for continuous optimization. - Wenchao Yi; Yinzhi Zhou; Liang Gao 001; Xinyu Li 001; Jianhui Mou (Expert Syst. Appl., 2016)

A hybrid heuristic algorithm for flowshop inverse scheduling problem under a dynamic environment. - Jianhui Mou; Liang Gao 001; Qianjian Guo; Jiancai Mu (Clust. Comput., 2017)

Multi-objective inverse scheduling optimization of single-machine shop system with uncertain due-dates and processing times. - Jianhui Mou; Liang Gao 001; Xinyu Li 001; Quanke Pan; Jiancai Mu (Clust. Comput., 2017)

An effective L-MONG algorithm for solving multi-objective flow-shop inverse scheduling problems. - Jianhui Mou; Xinyu Li 001; Liang Gao 001; Wenchao Yi (J. Intell. Manuf., 2018)

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 001; Qianjian Guo; Rufeng Xu; Xinyu Li 001 (Neural Comput. Appl., 2019)

An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling. - Jianhui Mou; Peiyong Duan; Liang Gao 001; Xinhua Liu; Junqing Li 001 (Future Gener. Comput. Syst., 2022)

An automatic multi-objective evolutionary algorithm for the hybrid flowshop scheduling problem with consistent sublots. - Biao Zhang 003; Quan-Ke Pan; Leilei Meng; Chao Lu 008; Jianhui Mou; Junqing Li 001 (Knowl. Based Syst., 2022)

A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds. - Chao Lu 008; Biao Zhang 003; Liang Gao 001; Jin Yi; Jianhui Mou (IEEE Syst. J., 2022)

KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System. - Junqing Li 001; Xiaolong Chen 002; Pei-Yong Duan; Jianhui Mou (IEEE Trans. Ind. Informatics, 2022)

Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System. - Jianhui Mou; Peiyong Duan; Liang Gao 001; Quanke Pan; Kaizhou Gao; Amit Kumar Singh 001 (IEEE Trans. Intell. Transp. Syst., 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., 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., 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 001; Akhil Garg 002; Rohit Sharma 002 (IEEE Trans. Intell. Transp. Syst., 2023)

Pattern synthesis of linear antenna-array for high gain and low sidelobe level based on sand cat swarm optimization algorithm. - Jianhui Mou; Jian Wang; Yangwei Wang; Ming Xiang; Lihua Zhang (J. Supercomput., 2025)