Yongsheng Liang

According to our database, Yongsheng Liang authored at least 24 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems.

An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du

Inf. Sci., April, 2023

An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization.

An Chen, Zhigang Ren, Wenhua Guo, Yongsheng Liang, Zuren Feng

IEEE Trans. Evol. Comput., 2023

2021

Surrogate-assisted cooperative signal optimization for large-scale traffic networks.

Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du

Knowl. Based Syst., 2021

Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection.

Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen

CoRR, 2021

An eigenspace divide-and-conquer approach for large-scale optimization.

Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen

Appl. Soft Comput., 2021

Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions.

An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive.

Yongsheng Liang, Zhigang Ren, Xianghua Yao, Zuren Feng, An Chen, Wenhua Guo

IEEE Trans. Cybern., 2020

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.

Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang

IEEE Access, 2020

Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform.

Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection.

Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy.

Zhigang Ren, Yongsheng Liang, Aimin Zhang, Yang Yang, Zuren Feng, Lin Wang

IEEE Trans. Cybern., 2019

An efficient estimation of distribution algorithm with rank-one modification and population reduction.

Yongsheng Liang, Zhigang Ren, Miao He, Lin Wang, Jianfu Cao, An Chen, Bei Pang

Biosyst., 2019

Surrogate model assisted cooperative coevolution for large scale optimization.

Zhigang Ren, Bei Pang, Muyi Wang, Zuren Feng, Yongsheng Liang, An Chen, Yipeng Zhang

Appl. Intell., 2019

A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems.

Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018

Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm.

Zhigang Ren, Yongsheng Liang, Lin Wang, Aimin Zhang, Bei Pang, Biying Li

Knowl. Based Syst., 2018

A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems.

An Chen, Yipeng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang

CoRR, 2018

Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization.

Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yipeng Zhang

CoRR, 2018

Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models.

Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering.

Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A global information based adaptive threshold for grouping large scale optimization problems.

An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A historical interdependency based differential grouping algorithm for large scale global optimization.

An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems.

Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Inferior solutions in Gaussian EDA: Useless or useful?

Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling.

Zhigang Ren, Chenlong He, Dexing Zhong, Shanshan Huang, Yongsheng Liang

Proceedings of the IEEE Congress on Evolutionary Computation, 2016