Yong Wang
Orcid: 0000-0003-4177-5462Affiliations:
- Ocean University of China, School of Computer Science and Technology, Qingdao, China
- Xi'an Jiaotong University, Xi'an, China (PhD 2009)
According to our database1,
Yong Wang authored at least 23 papers
between 2017 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Niching Genetic Programming With Elite Archive for Multi-Objective Dynamic Scheduling.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026
A Two-Stage Cooperative Discrete Differential Evolution With Q-Learning for Multiobjective Energy-Efficient Distributed Blocking Flow-Shop Scheduling.
IEEE Trans. Evol. Comput., April, 2026
Efficient Generation of Test Cases for MPI Program Path Coverage through Elite Individual Selection.
ACM Trans. Softw. Eng. Methodol., January, 2026
2025
An Adaptive Multistrategy Algorithm Based on Extent of Environmental Change for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., October, 2025
A Bi-Population Cooperative Discrete Differential Evolution for Multiobjective Energy-Efficient Distributed Blocking Flow Shop Scheduling Problem.
IEEE Trans. Syst. Man Cybern. Syst., March, 2025
Improved NSGA-II Using Q-Learning and Shortest Workflow First for Tri-Objective Large-Scale Heterogeneous Multi-Workflow Scheduling.
IEEE Trans. Serv. Comput., 2025
A dynamic multi-objective optimization based on knowledge prediction and density clustering strategy.
Appl. Soft Comput., 2025
2024
Solving Dynamic Multiobjective Optimization Problems via Feedback-Guided Transfer and Trend Manifold Prediction.
IEEE Trans. Syst. Man Cybern. Syst., December, 2024
The application of evolutionary computation in generative adversarial networks (GANs): a systematic literature survey.
Artif. Intell. Rev., July, 2024
Improving Test Data Generation for MPI Program Path Coverage With FERPSO-IMPR and Surrogate-Assisted Models.
IEEE Trans. Software Eng., March, 2024
A fuzzy-guided adaptive algorithm with hierarchy mechanism for solving dynamic multi-objective optimization problems.
Knowl. Based Syst., 2024
2023
Expert Syst. Appl., December, 2023
Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization.
Appl. Intell., May, 2023
Improved differential evolution using two-stage mutation strategy for multimodal multi-objective optimization.
Swarm Evol. Comput., 2023
Architecture evolution of convolutional neural network using monarch butterfly optimization.
J. Ambient Intell. Humaniz. Comput., 2023
Forecasting ENSO using convolutional LSTM network with improved attention mechanism and models recombined by genetic algorithm in CMIP5/6.
Inf. Sci., 2023
Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition, 2023
2022
J. Softw. Evol. Process., 2022
An enhancing many-objective evolutionary algorithm using chaotic mapping and solution ranking mechanism for large-scale optimization.
J. Comput. Des. Eng., 2022
2021
Improving distributed anti-flocking algorithm for dynamic coverage of mobile wireless networks with obstacle avoidance.
Knowl. Based Syst., 2021
2018
基于类推和灰色模型的软件阶段成本预测 (Software Stage Effort Prediction Based on Analogy and Grey Model).
计算机科学, 2018
2017
Proceedings of the 2017 IEEE International Conference on Software Quality, 2017
Proceedings of the 24th Asia-Pacific Software Engineering Conference Workshops, 2017