Hongfeng Wang

Expert Syst. Appl., December, 2023

Integrated Optimization of Blocking Flowshop Scheduling and Preventive Maintenance Using a Q-Learning-Based Aquila Optimizer.

[BibT_eX]

[DOI]

Zhenpeng Ge

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.

[BibT_eX]

[DOI]

Comput. Ind. Eng., May, 2023

Blockchain-secured multi-factory production with collaborative maintenance using Q learning-based optimisation approach.

[BibT_eX]

[DOI]

Junwei Wang

Int. J. Prod. Res., 2023

Parameter-Adaptive Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization Algorithm.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2022

DRSNFuse: Deep Residual Shrinkage Network for Infrared and Visible Image Fusion.

[BibT_eX]

[DOI]

Sensors, 2022

Digital twin-enabled dynamic scheduling with preventive maintenance using a double-layer Q-learning algorithm.

[BibT_eX]

[DOI]

Fang Wu

Comput. Oper. Res., 2022

Scheduling a Permutation Flow Shop in the Context of Industry 4.0.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Syst. J., 2021

Centered Multi-Task Generative Adversarial Network for Small Object Detection.

[BibT_eX]

[DOI]

Sensors, 2021

A Pupil Segmentation Algorithm Based on Fuzzy Clustering of Distributed Information.

[BibT_eX]

[DOI]

Kemeng Bai

Jianzhong Wang

Sensors, 2021

Dynamic Large-Scale Server Scheduling for IVF Queuing Network in Cloud Healthcare System.

[BibT_eX]

[DOI]

Complex., 2021

Integrated scheduling and flexible maintenance in deteriorating multi-state single machine system using a reinforcement learning approach.

[BibT_eX]

[DOI]

Shuzhu Zhang

Adv. Eng. Informatics, 2021

2020

Formulation of the Non-Parametric Value at Risk Portfolio Selection Problem Considering Symmetry.

[BibT_eX]

[DOI]

Symmetry, 2020

2019

On an integrated approach to resilient transportation systems in emergency situations.

[BibT_eX]

[DOI]

Nat. Comput., 2019

A decomposition based multiobjective genetic algorithm with adaptive multipopulation strategy for flowshop scheduling problem.

[BibT_eX]

[DOI]

Nat. Comput., 2019

An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs.

[BibT_eX]

[DOI]

Junwei Wang

J. Intell. Manuf., 2019

Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2019

Patient assignment scheduling in a cloud healthcare system based on petri net and greedy-based heuristic.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2019

Integrated scheduling for a distributed manufacturing system: a stochastic multi-objective model.

[BibT_eX]

[DOI]

Yaping Fu

Enterp. Inf. Syst., 2019

An Ensemble Model for Error Modeling with Pseudoinverse Learning Algorithm.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

2017

A hybrid evolutionary algorithm with adaptive multi-population strategy for multi-objective optimization problems.

[BibT_eX]

[DOI]

Soft Comput., 2017

A NSGA-II based memetic algorithm for multiobjective parallel flowshop scheduling problem.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2017

Weighting Features Before Applying Machine Learning Methods to Pulsar Search.

[BibT_eX]

[DOI]

Dayang Wang

Qian Yin

Proceedings of the Intelligence Science I, 2017

2016

Toward a Resilient Holistic Supply Chain Network System: Concept, Review and Future Direction.

[BibT_eX]

[DOI]

IEEE Syst. J., 2016

New Deadline-Aware Energy-Consumption Optimization Model and Genetic Algorithm Under Cloud Computing.

[BibT_eX]

[DOI]

Hai Zhu

Int. J. Pattern Recognit. Artif. Intell., 2016

On domain modelling of the service system with its application to enterprise information systems.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2016

Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2016

An intelligent factory-wide optimal operation system for continuous production process.

[BibT_eX]

[DOI]

Enterp. Inf. Syst., 2016

Energy-Aware Scheduling of Workflow in Cloud Center with Deadline Constraint.

[BibT_eX]

[DOI]

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).

[BibT_eX]

[DOI]

Hai Zhu

计算机科学, 2015

Robust Waveform Optimization for MIMO Radar to Improve the Worst-Case Detection Performance.

[BibT_eX]

[DOI]

Hongyan Wang

J. Commun., 2015

A species based multiobjective evolutionary algorithm for multiobjective flow shop scheduling problem.

[BibT_eX]

[DOI]

Yaping Fu

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

On a Unified Definition of the Service System: What is its Identity?

[BibT_eX]

[DOI]

IEEE Syst. J., 2014

A New Model for Energy Consumption Optimization under Cloud Computing and its Genetic Algorithm.

[BibT_eX]

[DOI]

Hai Zhu

Xiaoli Wang

Proceedings of the Tenth International Conference on Computational Intelligence and Security, 2014

Locate Multiple Pareto Optima Using a Species-Based Multi-objective Genetic Algorithm.

[BibT_eX]

[DOI]

Yaping Fu

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.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2013

2012

A memetic particle swarm optimization algorithm for multimodal optimization problems.

[BibT_eX]

[DOI]

Inf. Sci., 2012

A memetic particle swarm optimisation algorithm for dynamic multi-modal optimisation problems.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2012

A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem.

[BibT_eX]

[DOI]

Kyungdaw Kang

Ilkyeong Moon

Appl. Math. Comput., 2012

2010

A particle swarm optimization based memetic algorithm for dynamic optimization problems.

[BibT_eX]

[DOI]

Nat. Comput., 2010

A hybrid genetic algorithm for 3D bin packing problems.

[BibT_eX]

[DOI]

Yanjie Chen

Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009

Adaptive Primal-Dual Genetic Algorithms in Dynamic Environments.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2009

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems.

[BibT_eX]

[DOI]

Dingwei Wang

Shengxiang Yang

Soft Comput., 2009

A particle swarm optimization approach for components placement inspection on printed circuit boards.

[BibT_eX]

[DOI]

J. Intell. Manuf., 2009

2008

A multi-agent based evolutionary algorithm in non-stationary environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Triggered Memory-Based Swarm Optimization in Dynamic Environments.

[BibT_eX]

[DOI]

Dingwei Wang

Shengxiang Yang

Proceedings of the Applications of Evolutinary Computing, 2007

2006

An Improved Primal-Dual Genetic Algorithm for Optimization in Dynamic Environments.

[BibT_eX]

[DOI]