Jun Liu
Orcid: 0000-0002-7409-8675Affiliations:
- Huazhong University of Science and Technology, School of Naval Architecture and Ocean Engineering, Wuhan, China
According to our database1,
Jun Liu
authored at least 12 papers
between 2017 and 2025.
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Online presence:
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on orcid.org
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Bibliography
2025
A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions.
IEEE Trans. Evol. Comput., February, 2025
2024
Bi-Population-Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems.
IEEE Trans. Evol. Comput., December, 2024
2023
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems.
Swarm Evol. Comput., October, 2023
2022
A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis.
Reliab. Eng. Syst. Saf., 2022
Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems.
Knowl. Based Syst., 2022
An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region.
Inf. Sci., 2022
A sequential multi-fidelity surrogate model-assisted contour prediction method for engineering problems with expensive simulations.
Eng. Comput., 2022
2021
An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems.
Inf. Sci., 2021
2020
A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem.
Eng. Comput., 2020
An adaptive constraint-handling approach for optimization problems with expensive objective and constraints.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2017
Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2017