3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.NE2021★ 3 cited
Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics
Ye Tian, Xingyi Zhang, Cheng He +2
In the past three decades, a large number of metaheuristics have been proposed and shown high performance in solving complex optimization problems. While most variation operators i…
cs.CV2020
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Hao Tan, Ran Cheng, Shihua Huang +4
Despite the remarkable successes of Convolutional Neural Networks (CNNs) in computer vision, it is time-consuming and error-prone to manually design a CNN. Among various Neural Arc…
cs.NE2019★ 1 cited
Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks
Cheng He, Shihua Huang, Ran Cheng +2
Recently, more and more works have proposed to drive evolutionary algorithms using machine learning models.Usually, the performance of such model based evolutionary algorithms is h…