Peiyong Duan
Orcid: 0000-0003-4283-4049
According to our database1,
Peiyong Duan
authored at least 73 papers
between 2006 and 2025.
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Bibliography
2025
Double-Learning-Strategy-Based Evolutionary Algorithm for Scheduling Multiobjective Distributed Assembly Permutation Flowshops With Setup Time.
IEEE Trans. Syst. Man Cybern. Syst., February, 2025
2024
A Hybrid Graph-Based Imitation Learning Method for a Realistic Distributed Hybrid Flow Shop With Family Setup Time.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
Enhancing Worker Recruitment in Collaborative Mobile Crowdsourcing: A Graph Neural Network Trust Evaluation Approach.
IEEE Trans. Mob. Comput., October, 2024
Bi-Population Balancing Multi-Objective Algorithm for Fuzzy Flexible Job Shop With Energy and Transportation.
IEEE Trans Autom. Sci. Eng., July, 2024
Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment.
IEEE Trans. Comput. Soc. Syst., June, 2024
Bilateral Privacy Protection Scheme Based on Adaptive Location Generalization and Grouping Aggregation in Mobile Crowdsourcing.
IEEE Internet Things J., May, 2024
A Reinforcement Learning Approach for Flexible Job Shop Scheduling Problem With Crane Transportation and Setup Times.
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Multi-population cooperative multi-objective evolutionary algorithm for sequence-dependent group flow shop with consistent sublots.
Expert Syst. Appl., March, 2024
Distributed Saturated Impulsive Control for Local Consensus of Nonlinear Time-Delay Multiagent Systems With Switching Topologies.
IEEE Trans. Autom. Control., February, 2024
Thermal-Adaptation-Behavior-Based Thermal Sensation Evaluation Model with Surveillance Cameras.
Sensors, February, 2024
Joint Measurement of Thermal Discomfort by Occupant Pose, Motion and Appearance in Indoor Surveillance Videos for Building Energy Saving.
J. Circuits Syst. Comput., February, 2024
Two-level balancing multi-objective algorithm for trapezoidal type-2 fuzzy flexible job shop problems.
Inf. Sci., 2024
GrMoNAS: A granularity-based multi-objective NAS framework for efficient medical diagnosis.
Comput. Biol. Medicine, 2024
Personalized Privacy Protection Incentive Mechanism for Mobile Crowdsourcing Based on Homomorphic Encryption and Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2024
2023
A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances.
IEEE Trans. Intell. Transp. Syst., December, 2023
A collaboration-based multi-objective algorithm for distributed hybrid flowshop scheduling with resource constraints.
Swarm Evol. Comput., December, 2023
A Triple Real-Time Trajectory Privacy Protection Mechanism Based on Edge Computing and Blockchain in Mobile Crowdsourcing.
IEEE Trans. Mob. Comput., October, 2023
H<sub>∞</sub> Bipartite Synchronization Control of Markov Jump Cooperation-Competition Networks With Reaction-Diffusions.
IEEE Trans. Cybern., October, 2023
Global Predefined-Time Adaptive Neural Network Control for Disturbed Pure-Feedback Nonlinear Systems With Zero Tracking Error.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
An Improved Artificial Bee Colony Algorithm With Q-Learning for Solving Permutation Flow-Shop Scheduling Problems.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Biologically Inspired Machine Learning-Based Trajectory Analysis in Intelligent Dispatching Energy Storage System.
IEEE Trans. Intell. Transp. Syst., April, 2023
Input-to-State Stability of Time-Delay Systems With Hybrid Impulses and Continuous Subdynamics Based on Vector Lyapunov Function.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Adaptive Neural Control of Nonlinear Nonstrict Feedback Systems With Full-State Constraints: A Novel Nonlinear Mapping Method.
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Efficient Recruitment Strategy for Collaborative Mobile Crowd Sensing Based on GCN Trustworthiness Prediction.
CoRR, 2023
2022
KMOEA: A Knowledge-Based Multiobjective Algorithm for Distributed Hybrid Flow Shop in a Prefabricated System.
IEEE Trans. Ind. Informatics, 2022
A Hybrid Iterated Greedy Algorithm for a Crane Transportation Flexible Job Shop Problem.
IEEE Trans Autom. Sci. Eng., 2022
Event-triggered <i>delayed</i> impulsive control for nonlinear systems with application to complex neural networks.
Neural Networks, 2022
Finite-time lag synchronization for uncertain complex networks involving impulsive disturbances.
Neural Comput. Appl., 2022
An effective hybrid collaborative algorithm for energy-efficient distributed permutation flow-shop inverse scheduling.
Future Gener. Comput. Syst., 2022
2021
Reduced-Order Observer-Based Adaptive Fuzzy Tracking Control Scheme of Stochastic Switched Nonlinear Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Adaptive Neural Tracking Control Scheme of Switched Stochastic Nonlinear Pure-Feedback Nonlower Triangular Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Hybrid Steady-State Compressor Model for Real-Time Applications in Performance Monitoring, Control and Optimization.
IEEE Access, 2021
Exploiting Probabilistic Siamese Visual Tracking with a Conditional Variational Autoencoder.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Adaptive Neural Output-Feedback Controller Design of Switched Nonlower Triangular Nonlinear Systems With Time Delays.
IEEE Trans. Neural Networks Learn. Syst., 2020
Multiple Lyapunov Functions for Adaptive Neural Tracking Control of Switched Nonlinear Nonlower-Triangular Systems.
IEEE Trans. Cybern., 2020
Hybrid Artificial Bee Colony Algorithm for a Parallel Batching Distributed Flow-Shop Problem With Deteriorating Jobs.
IEEE Trans. Cybern., 2020
A survey on meta-heuristics for solving disassembly line balancing, planning and scheduling problems in remanufacturing.
Swarm Evol. Comput., 2020
Synchronization of complex networks with time-varying delay of unknown bound via delayed impulsive control.
Neural Networks, 2020
Finite-time adaptive neural control and almost disturbance decoupling for disturbed MIMO non-strict-feedback nonlinear systems.
J. Frankl. Inst., 2020
Finite-Time Adaptive Tracking Control for a Class of Pure-Feedback Nonlinear Systems with Disturbances via Decoupling Technique.
Complex., 2020
Posting Techniques in Indoor Environments Based on Deep Learning for Intelligent Building Lighting System.
IEEE Access, 2020
2019
Observer-based sliding mode control for synchronization of delayed chaotic neural networks with unknown disturbance.
Neural Networks, 2019
Optimal chiller loading by improved artificial fish swarm algorithm for energy saving.
Math. Comput. Simul., 2019
Adaptive neural design frame for uncertain stochastic nonlinear non-lower triangular pure-feedback systems with input constraint.
J. Frankl. Inst., 2019
An improved artificial bee colony algorithm for addressing distributed flow shop with distance coefficient in a prefabricated system.
Int. J. Prod. Res., 2019
Solving multi-area environmental/ economic dispatch by Pareto-based chemical-reaction optimization algorithm.
IEEE CAA J. Autom. Sinica, 2019
2018
An effective invasive weed optimization algorithm for scheduling semiconductor final testing problem.
Swarm Evol. Comput., 2018
An effective discrete invasive weed optimization algorithm for lot-streaming flowshop scheduling problems.
J. Intell. Manuf., 2018
J. Frankl. Inst., 2018
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment.
Complex., 2018
Adaptive RBF Neural-Network-Based Design Strategy for Non-Strict-Feedback Nonlinear Systems by Using Integral Lyapunov Functions.
IEEE Access, 2018
An Efficient Optimization Algorithm for Resource-Constrained Steelmaking Scheduling Problems.
IEEE Access, 2018
A Hybrid Pareto-Based Tabu Search for the Distributed Flexible Job Shop Scheduling Problem With E/T Criteria.
IEEE Access, 2018
Adaptive Neural Controller Design Scheme of Nonlinear Delayed Systems With Completely Unknown Nonlinearities and Non-Strict-Feedback Structure.
IEEE Access, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Research on Vehicle Routing Problem and Its Optimization Algorithm Based on Assembled Building.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Research on Swarm Intelligence Algorithm Based on Prefabricated Construction Vehicle Routing Problem.
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Soft Comput., 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
2016
An Improved Artificial Bee Colony Algorithm for Solving Hybrid Flexible Flowshop With Dynamic Operation Skipping.
IEEE Trans. Cybern., 2016
A Discrete Invasive Weed Optimization Algorithm for the No-Wait Lot-Streaming Flow Shop Scheduling Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016
A Developed NSGA-II Algorithm for Multi-objective Chiller Loading Optimization Problems.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
An effective hybrid harmony search-based algorithm for solving multidimensional knapsack problems.
Appl. Soft Comput., 2015
2012
Hybrid dynamic modeling of the evaporator for the development of the advanced optimal control strategies.
Proceedings of the IEEE Asian Solid State Circuits Conference, 2012
2009
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
2006
Int. J. Model. Identif. Control., 2006