2 citations · 4 across the 4 of their papers we have counts for
5 papers · 1 filter
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering
Yongsheng Liang, Zhigang Ren, Bei Pang +1
As a model-based evolutionary algorithm, estimation of distribution algorithm (EDA) possesses unique characteristics and has been widely applied to global optimization. However, tr…
Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models
Bei Pang, Zhigang Ren, Yongsheng Liang +1
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy. However, its performa…
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems
An Chen, Yipeng Zhang, Zhigang Ren +2
By taking the idea of divide-and-conquer, cooperative coevolution (CC) provides a powerful architecture for large scale global optimization (LSGO) problems, but its efficiency reli…
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization
Zhigang Ren, Bei Pang, Yongsheng Liang +2
It has been shown that cooperative coevolution (CC) can effectively deal with large scale optimization problems (LSOPs) through a divide-and-conquer strategy. However, its performa…
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive
Yongsheng Liang, Zhigang Ren, Xianghua Yao +2
As a typical model-based evolutionary algorithm (EA), estimation of distribution algorithm (EDA) possesses unique characteristics and has been widely applied to global optimization…