Hongfeng Wang
Orcid: 0000-0002-8954-0876
According to our database1,
Hongfeng Wang
authored at least 60 papers
between 2002 and 2024.
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Bibliography
2024
Joint Optimizing High-Speed Cruise Control and Multi-Hop Communication in Platoons: A Reinforcement Learning Approach.
IEEE Trans. Intell. Transp. Syst., November, 2024
Synchronisation of operations and maintenance in distributed unrelated parallel machine systems: a hierarchical optimisation framework.
Enterp. Inf. Syst., July, 2024
A Q-learning-based multi-objective evolutionary algorithm for integrated green production and distribution scheduling problems.
Eng. Appl. Artif. Intell., January, 2024
Multi-objective migrating birds optimization for solving stochastic home health care routing and scheduling problems considering caregiver working time constraints.
Swarm Evol. Comput., 2024
A method for predicting relative position errors in dual-robot systems via knowledge transfer from geometric and nongeometric calibration.
Ind. Robot, 2024
IEEE Access, 2024
A Meta-Learning - Based Surrogate-Assisted Evolutionary Algorithm for Expensive Multi-Objective Optimization Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
A Q-learning-Based Meta-heuristic Algorithm for Open Shop Scheduling Considering Group and Transportation Activities.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Q-learning driven multi-population memetic algorithm for distributed three-stage assembly hybrid flow shop scheduling with flexible preventive maintenance.
Expert Syst. Appl., December, 2023
Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer.
Symmetry, August, 2023
Multi-Objective brain storm optimization for integrated scheduling of distributed flow shop and distribution with maximal processing quality and minimal total weighted earliness and tardiness.
Comput. Ind. Eng., May, 2023
Blockchain-secured multi-factory production with collaborative maintenance using Q learning-based optimisation approach.
Int. J. Prod. Res., 2023
Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
Double-Layer Q-Learning-Based Joint Decision-Making of Dual Resource-Constrained Aircraft Assembly Scheduling and Flexible Preventive Maintenance.
IEEE Trans. Aerosp. Electron. Syst., 2022
Sensors, 2022
Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm.
Comput. Oper. Res., 2022
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022
2021
Multiobjective Modeling and Optimization for Scheduling a Stochastic Hybrid Flow Shop With Maximizing Processing Quality and Minimizing Total Tardiness.
IEEE Syst. J., 2021
Sensors, 2021
Sensors, 2021
Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System.
Complex., 2021
Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach.
Adv. Eng. Informatics, 2021
2020
Formulation of the Non-Parametric Value at Risk Portfolio Selection Problem Considering Symmetry.
Symmetry, 2020
2019
On an integrated approach to resilient transportation systems in emergency situations.
Nat. Comput., 2019
A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem.
Nat. Comput., 2019
An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs.
J. Intell. Manuf., 2019
Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm.
J. Intell. Manuf., 2019
Patient assignment scheduling in a cloud healthcare system based on petri net and greedy-based heuristic.
Enterp. Inf. Syst., 2019
Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model.
Enterp. Inf. Syst., 2019
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
Two-objective stochastic flow-shop scheduling with deteriorating and learning effect in Industry 4.0-based manufacturing system.
Appl. Soft Comput., 2018
2017
A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems.
Soft Comput., 2017
A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem.
Comput. Ind. Eng., 2017
Proceedings of the Intelligence Science I, 2017
2016
Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction.
IEEE Syst. J., 2016
New Deadline-Aware Energy-Consumption Optimization Model and Genetic Algorithm Under Cloud Computing.
Int. J. Pattern Recognit. Artif. Intell., 2016
On domain modelling of the service system with its application to enterprise information systems.
Enterp. Inf. Syst., 2016
Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs.
Enterp. Inf. Syst., 2016
An intelligent factory-wide optimal operation system for continuous production process.
Enterp. Inf. Syst., 2016
Proceedings of the 12th International Conference on Computational Intelligence and Security, 2016
2015
采用遗传-退火算法的网格依赖任务可信调度 (Trusted Scheduling of Dependent Tasks Using Genetic-annealing Algorithm under Grid Environment).
计算机科学, 2015
Robust Waveform Optimization for MIMO Radar to Improve the Worst-Case Detection Performance.
J. Commun., 2015
A species based multiobjective evolutionary algorithm for multiobjective flow shop scheduling problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
IEEE Syst. J., 2014
A New Model for Energy Consumption Optimization under Cloud Computing and its Genetic Algorithm.
Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014
Locate Multiple Pareto Optima Using a Species-Based Multi-objective Genetic Algorithm.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014
2013
Evacuation Planning Based on the Contraflow Technique With Consideration of Evacuation Priorities and Traffic Setup Time.
IEEE Trans. Intell. Transp. Syst., 2013
2012
A memetic particle swarm optimization algorithm for multimodal optimization problems.
Inf. Sci., 2012
A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.
Int. J. Syst. Sci., 2012
A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem.
Appl. Math. Comput., 2012
2010
A particle swarm optimization based memetic algorithm for dynamic optimization problems.
Nat. Comput., 2010
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010
2009
IEEE Trans. Syst. Man Cybern. Part B, 2009
A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.
Soft Comput., 2009
A particle swarm optimization approach for components placement inspection on printed circuit boards.
J. Intell. Manuf., 2009
2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Applications of Evolutinary Computing, 2007
2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2004
Proceedings of the Digital Libraries: International Collaboration and Cross-Fertilization, 2004
2002
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2002