Qingda Chen
Orcid: 0000-0003-4465-8958
According to our database1,
Qingda Chen
authored at least 29 papers
between 2017 and 2026.
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Bibliography
2026
Co-evolutionary multi-objective optimization enhanced by reinforcement learning decision support in distributed group scheduling.
Expert Syst. Appl., 2026
2025
Optimizing Dynamic Flexible Job Shop Scheduling Using an Evolutionary Multitask Optimization Framework and Genetic Programming.
IEEE Trans. Evol. Comput., October, 2025
A Dual Mutation-Based Evolutionary Algorithm for Dynamic Multiobjective Optimization With Undetectable Changes.
IEEE Trans. Evol. Comput., August, 2025
Dual-Population Evolution Based Dynamic Constrained Multiobjective Optimization With Discontinuous and Irregular Feasible Regions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025
Sensitivity Analysis-Based Explainable Diffusion Transformers for Anomaly Detection in Consumer Electronics Manufacturing.
IEEE Trans. Consumer Electron., February, 2025
Mixed-Gain Adaption-Based Fault-Tolerant Funnel Control of Robotic Manipulators With Unknown Dynamics and Sensor Faults.
IEEE Trans Autom. Sci. Eng., 2025
Constraint-tightening based adaptive two-stage evolutionary algorithm for constrained multi-objective optimization.
Swarm Evol. Comput., 2025
GCB-Diff: Global context-aware and boundary-aware feature fusion based on diffusion model for medical image segmentation.
Neurocomputing, 2025
2024
IEEE Trans Autom. Sci. Eng., October, 2024
Multipopulation Evolution-Based Dynamic Constrained Multiobjective Optimization Under Diverse Changing Environments.
IEEE Trans. Evol. Comput., June, 2024
A Surrogate-Assisted Expensive Constrained Multi-Objective Optimization Algorithm Based on Adaptive Switching of Acquisition Functions.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Evolving Neural Networks for Bi-Level Human Decision-Making Prediction in Mineral Processing.
Proceedings of the 50th Annual Conference of the IEEE Industrial Electronics Society, 2024
A Surrogate-Assisted Coevolutionary Algorithm for Expensive Constrained Multiobjective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
Improved Particle Swarm Optimization-GPR for Alumina Production Index Prediction Model.
Proceedings of the 14th Asian Control Conference, 2024
2023
Energy-Efficient Iterative Greedy Algorithm for the Distributed Hybrid Flow Shop Scheduling With Blocking Constraints.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Evolutionary Optimization Under Uncertainty: The Strategies to Handle Varied Constraints for Fluid Catalytic Cracking Operation.
IEEE Trans. Cybern., 2022
Individual Tree Segmentation and Tree Height Estimation Using Leaf-Off and Leaf-On UAV-LiDAR Data in Dense Deciduous Forests.
Remote. Sens., 2022
Gaussian Process-assisted Evolutionary Algorithm for Constrained Expensive Multi-Objective Optimization.
Proceedings of the 13th Asian Control Conference, 2022
2021
A decomposition-based evolutionary algorithm for scalable multi/many-objective optimization.
Memetic Comput., 2021
Solving Type-2 Fuzzy Distributed Hybrid Flowshop Scheduling Using an Improved Brain Storm Optimization Algorithm.
Int. J. Fuzzy Syst., 2021
Distributed Flow Shop Scheduling with Sequence-Dependent Setup Times Using an Improved Iterated Greedy Algorithm.
Complex Syst. Model. Simul., 2021
2020
A Novel Evolutionary Algorithm for Dynamic Constrained Multiobjective Optimization Problems.
IEEE Trans. Evol. Comput., 2020
Constrained Operational Optimization of a Distillation Unit in Refineries With Varying Feedstock Properties.
IEEE Trans. Control. Syst. Technol., 2020
2019
IEEE Trans Autom. Sci. Eng., 2019
2018
A hybrid variable neighborhood search algorithm for the hot rolling batch scheduling problem in compact strip production.
Comput. Ind. Eng., 2018
An Enhanced Migrating Birds Optimization for the Flexible Job Shop Scheduling Problem with Lot Streaming.
Proceedings of the Intelligent Computing Theories and Application, 2018
An Effective Artificial Bee Colony for Distributed Lot-Streaming Flowshop Scheduling Problem.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
2017
An effective fruit fly optimization algorithm for the hybrid flowshop scheduling problem.
Proceedings of the 13th International Conference on Natural Computation, 2017