Self-adaptive multi-objective evolutionary algorithm for flexible job shop scheduling with fuzzy processing time. - Rui Li 087; Wenyin Gong; Chao Lu 008 (Comput. Ind. Eng., 2022)

A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling. - Rui Li 087; Wenyin Gong; Chao Lu 008 (Expert Syst. Appl., 2022)

Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time. - Rui Li 087; Wenyin Gong; Ling Wang 001; Chao Lu 008; Shuning Jiang (Swarm Evol. Comput., 2022)

Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories. - Cong Luo; Wenyin Gong; Rui Li 087; Chao Lu 008 (Eng. Appl. Artif. Intell., 2023)

A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time. - Rui Li 087; Wenyin Gong; Chao Lu 008; Ling Wang 001 (IEEE Trans. Evol. Comput., 2023)

Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling. - Shijie Cao; Rui Li 087; Wenyin Gong; Chao Lu 008 (Swarm Evol. Comput., 2023)

Surprisingly Popular-Based Adaptive Memetic Algorithm for Energy-Efficient Distributed Flexible Job Shop Scheduling. - Rui Li 087; Wenyin Gong; Ling Wang 001; Chao Lu 008; Xinying Zhuang (IEEE Trans. Cybern., 2023)

Deep reinforcement learning-based memetic algorithm for energy-aware flexible job shop scheduling with multi-AGV. - Fayong Zhang; Rui Li 087; Wenyin Gong (Comput. Ind. Eng., 2024)

Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling. - Rui Li 087; Ling Wang 001; Wenyin Gong; Jingfang Chen 001; Zixiao Pan; Yuting Wu; Yang Yu 005 (Eng. Appl. Artif. Intell., 2024)

A reinforcement learning-driven adaptive decomposition algorithm for multi-objective hybrid seru system scheduling considering worker transfer. - Yuting Wu; Ling Wang 001; Rui Li 087; Jing-fang Chen 001 (Swarm Evol. Comput., 2024)

Multi-objective optimization driven by preponderant individuals and symmetric sampling for operational parameter design in aluminum electrolysis process. - Lizhong Yao; Jia Chen; Ling Wang 001; Rui Li 087; Haijun Luo; Jun Yi (Swarm Evol. Comput., 2024)

Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling. - Rui Li 087; Wenyin Gong; Ling Wang 001; Chao Lu 008; Chenxin Dong (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Double DQN-Based Coevolution for Green Distributed Heterogeneous Hybrid Flowshop Scheduling With Multiple Priorities of Jobs. - Rui Li 087; Wenyin Gong; Ling Wang 001; Chao Lu 008; Zixiao Pan; Xinying Zhuang (IEEE Trans Autom. Sci. Eng., 2024)

Explicit Evolutionary Framework With Multitasking Feature Fusion for Optimizing Operational Parameters in Aluminum Electrolysis Process. - Lizhong Yao; Xin Zong; Ling Wang 001; Rui Li 087; Jun Yi (IEEE Trans. Cybern., 2024)

A learning-based dual-population optimization algorithm for hybrid seru system scheduling with assembly. - Yuting Wu; Ling Wang 001; Rui Li 087; Yuxiang Xu; Jie Zheng 001 (Swarm Evol. Comput., 2025)

Distributed Energy-Efficient Flexible Manufacturing With Assembly and Transportation: A Knowledge-Based Bi-Hierarchical Optimization Approach. - Zixiao Pan; Ling Wang 001; Jingjing Wang; Yang Yu 005; Rui Li 087 (IEEE Trans Autom. Sci. Eng., 2025)

A Spatiotemporal Data-Driven Framework for Acoustic Signal-Based Natural Gas Pipeline Leak Detection. - Lizhong Yao; Lu Zhang; Ling Wang 001; Rui Li 087; Haijun Luo (IEEE Trans. Instrum. Meas., 2025)

Natural Gas Pipeline Leak Detection Based on Dual Feature Drift in Acoustic Signals. - Lizhong Yao; Yu Zhang; Ling Wang 001; Rui Li 087; Tiantian He 001 (IEEE Trans. Ind. Informatics, 2025)