1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.NE2023
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…
cs.NE2021
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…
cs.NE2020★ 1 cited
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…