An effective fruit fly optimization algorithm for the hybrid flowshop scheduling problem. - Jun-Hua Duan; Tao Meng; Quan-Ke Pan; Qing-da Chen (ICNC-FSKD, 2017)

An Effective Artificial Bee Colony for Distributed Lot-Streaming Flowshop Scheduling Problem. - Jun-Hua Duan; Tao Meng; Qing-da Chen; Quan-Ke Pan (ICIC (3), 2018)

An Enhanced Migrating Birds Optimization for the Flexible Job Shop Scheduling Problem with Lot Streaming. - Tao Meng; Quan-Ke Pan; Qing-da Chen (ICIC (1), 2018)

A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production. - Biao Zhang 003; Quan-Ke Pan; Liang Gao 001; Xin-Li Zhang; Qing-da Chen (Comput. Ind. Eng., 2018)

Effective Hot Rolling Batch Scheduling Algorithms in Compact Strip Production. - Qing-da Chen; Quan-Ke Pan; Biao Zhang 003; Jinliang Ding; Junqing Li 001 (IEEE Trans Autom. Sci. Eng., 2019)

Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Control. Syst. Technol., 2020)

A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems. - Qing-da Chen; Jinliang Ding; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2020)

Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm. - Xue Han; Yuyan Han; Qingda Chen; Junqing Li 001; Hongyan Sang; Yiping Liu; Quanke Pan; Yusuke Nojima (Complex Syst. Model. Simul., 2021)

Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm. - Junqing Li 001; Jiake Li; Lijing Zhang; Hongyan Sang; Yuyan Han; Qingda Chen (Int. J. Fuzzy Syst., 2021)

A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization. - Jiaxin Chen; Jinliang Ding; Kay Chen Tan; Qingda Chen (Memetic Comput., 2021)

Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization. - Haofeng Wu; Jinliang Ding; Qingda Chen (ASCC, 2022)

Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests. - Qingda Chen; Tian Gao; Jiaojun Zhu; Fayun Wu; Xiufen Li; Deliang Lu; Fengyuan Yu (Remote. Sens., 2022)

Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation. - Qing-da Chen; Jinliang Ding; Tianyou Chai; Quanke Pan (IEEE Trans. Cybern., 2022)

Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm. - Haiyue Zhu; Qingda Chen; Jinliang Ding; Xingyi Zhang 001; Hongfeng Wang (SSCI, 2023)

Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints. - Haoxiang Qin; Yuyan Han; Qingda Chen; Ling Wang 001; Yuting Wang 003; Junqing Li 001; Yiping Liu (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Improved Particle Swarm Optimization-GPR for Alumina Production Index Prediction Model. - Bo Zhang; Qingda Chen; Shaowen Lu (ASCC, 2024)

A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization. - Haofeng Wu; Qingda Chen; Cuie Yang; Jinliang Ding; Yaochu Jin (CEC, 2024)

Evolving Neural Networks for Bi-Level Human Decision-Making Prediction in Mineral Processing. - Shengbo Hong; Wen Yu 001; Yingqin Zhu; Tianyou Chai; Qingda Chen; Yao Jia 001 (IECON, 2024)

A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions. - Haofeng Wu; Qingda Chen; Yaochu Jin; Jinliang Ding; Tianyou Chai (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments. - Qingda Chen; Jinliang Ding; Gary G. Yen; Shengxiang Yang; Tianyou Chai (IEEE Trans. Evol. Comput., 2024)

A Reinforcement Learning Based Large-Scale Refinery Production Scheduling Algorithm. - Yuandong Chen; Jinliang Ding; Qingda Chen (IEEE Trans Autom. Sci. Eng., 2024)

GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation. - Shannan Chen; Qingda Chen; Tongkang Zhang; Kaizhou Gao; Ronghui Ju; Peizhuo Zang; Shouliang Qi (Neurocomputing, 2025)

Mixed-Gain Adaption-Based Fault-Tolerant Funnel Control of Robotic Manipulators With Unknown Dynamics and Sensor Faults. - Jin-Xi Zhang; Jun-Guo Song; Qingda Chen; Feng Yang (IEEE Trans Autom. Sci. Eng., 2025)

Sensitivity Analysis-Based Explainable Diffusion Transformers for Anomaly Detection in Consumer Electronics Manufacturing. - Ling Yi; Shiyu Liu; Li Zhou 002; Zhaolong Ning; Jiajie Song; Qingda Chen; Ke Zhang; Jinliang Ding (IEEE Trans. Consumer Electron., 2025)

Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions. - Xiaoxu Jiang; Qingda Chen; Jinliang Ding; Xingyi Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Dual Mutation-Based Evolutionary Algorithm for Dynamic Multiobjective Optimization With Undetectable Changes. - Yuanchao Liu; Lixin Tang; Jinliang Ding; Qingda Chen; Kanrong Liu; Jianchang Liu (IEEE Trans. Evol. Comput., 2025)