2 citations · 8 across the 10 of their papers we have counts for
10 papers
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network
An Chen, Zhigang Ren, Muyi Wang +3
Convolutional neural networks (CNNs) have gained remarkable success in recent years. However, their performance highly relies on the architecture hyperparameters, and finding prope…
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
Xiaodong Ren, Daofu Guo, Zhigang Ren +2
By remarkably reducing real fitness evaluations, surrogate-assisted evolutionary algorithms (SAEAs), especially hierarchical SAEAs, have been shown to be effective in solving compu…
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
An Chen, Zhigang Ren, Muyi Wang +3
Problem decomposition plays a vital role when applying cooperative coevolution (CC) to large scale global optimization problems. However, most learning-based decomposition algorith…
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization
Zhigang Ren, Yongsheng Liang, Muyi Wang +2
Divide-and-conquer-based (DC-based) evolutionary algorithms (EAs) have achieved notable success in dealing with large-scale optimization problems (LSOPs). However, the appealing pe…
A Fast Differential Grouping Algorithm for Large Scale Black-Box Optimization
Zhigang Ren, An Chen, Yaochu Jin +3
Decomposition plays a significant role in cooperative co-evolution which shows great potential in large scale black-box optimization. However, current popular decomposition algorit…
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…