Yuansheng Cheng

21 papers B 2C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Surrogate-Assisted Constrained Optimization Evolutionary Algorithm by Searching Multiple Kinds of Global and Local Regions.
IEEE Trans. Evol. Comput.
Yong Zeng, Yuansheng Cheng, Jun Liu
2024 J jnl
Bi-Population-Enhanced Cooperative Differential Evolution for Constrained Large-Scale Optimization Problems.
IEEE Trans. Evol. Comput.
Puyu Jiang, Jun Liu, Yuansheng Cheng
2023 J jnl
A LOW-Cost Multi-Frequency Testing Platform for Non-Contact Vibration Measurement.
IEEE Instrum. Meas. Mag.
Yuansheng Cheng, Zufeng Zhang, Grzegorz Królczyk, Sifa Zheng, Zhixiong Li
2023 J jnl
A coevolutionary algorithm assisted by two archives for constrained multi-objective optimization problems.
Swarm Evol. Comput.
Yong Zeng, Yuansheng Cheng, Jun Liu
2023 — conf
Big Data Mining Algorithm of Internet of Things Based on Artificial Intelligence Technology.
ICISE
Zhengnan Wu, Yuansheng Cheng
2022 J jnl
A multi-output multi-fidelity Gaussian process model for non-hierarchical low-fidelity data fusion.
Knowl. Based Syst.
Quan Lin, Jiachang Qian, Yuansheng Cheng, Qi Zhou, Jiexiang Hu
2022 J jnl
A novel fidelity selection strategy-guided multifidelity kriging algorithm for structural reliability analysis.
Reliab. Eng. Syst. Saf.
Jiaxiang Yi, Yuansheng Cheng, Jun Liu
2022 J jnl
A sequential multi-fidelity surrogate model-assisted contour prediction method for engineering problems with expensive simulations.
Eng. Comput.
Jun Liu, Jiaxiang Yi, Qi Zhou, Yuansheng Cheng
2022 J jnl
An efficient global optimization algorithm for expensive constrained black-box problems by reducing candidate infilling region.
Inf. Sci.
Yong Zeng, Yuansheng Cheng, Jun Liu
2022 J jnl
Cooperative Bayesian optimization with hybrid grouping strategy and sample transfer for expensive large-scale black-box problems.
Knowl. Based Syst.
Puyu Jiang, Yuansheng Cheng, Jun Liu
2021 J jnl
A screening-based gradient-enhanced Gaussian process regression model for multi-fidelity data fusion.
Adv. Eng. Informatics
Quan Lin, Dawei Hu, Jiexiang Hu, Yuansheng Cheng, Qi Zhou
2021 J jnl
An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems.
Inf. Sci.
Puyu Jiang, Yuansheng Cheng, Jiaxiang Yi, Jun Liu
2021 — conf
Design and Implementation of Archive Management System Based on Cloud Computing Big Data.
ICISCAE (ACM)
Zhengnan Wu, Yuansheng Cheng
2021 J jnl
Multi-output Gaussian process prediction for computationally expensive problems with multiple levels of fidelity.
Knowl. Based Syst.
Quan Lin, Jiexiang Hu, Qi Zhou, Yuansheng Cheng, Zhen Hu, Ivo Couckuyt, Tom Dhaene
2020 J jnl
A sequential constraints updating approach for Kriging surrogate model-assisted engineering optimization design problem.
Eng. Comput.
Jiachang Qian, Jiaxiang Yi, Yuansheng Cheng, Jun Liu, Qi Zhou
2020 B conf
An adaptive constraint-handling approach for optimization problems with expensive objective and constraints.
CEC
Jiaxiang Yi, Yuansheng Cheng, Jun Liu
2019 B conf
A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems.
CEC
Puyu Jiang, Qi Zhou, Jun Liu, Yuansheng Cheng
2017 J jnl
Balancing global and local search in parallel efficient global optimization algorithms.
J. Glob. Optim.
Dawei Zhan, Jiachang Qian, Yuansheng Cheng
2017 J jnl
Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization.
IEEE Trans. Evol. Comput.
Dawei Zhan, Yuansheng Cheng, Jun Liu
2017 J jnl
Pseudo expected improvement criterion for parallel EGO algorithm.
J. Glob. Optim.
Dawei Zhan, Jiachang Qian, Yuansheng Cheng
2011 C conf
Automatic Energy Status Controlling with Dynamic Voltage Scaling in Power-Aware High Performance Computing Cluster.
PDCAT
Yuansheng Cheng, Yu Zeng