Cheng He (何成)
Cheng He (何成)
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Efficient evolutionary neural architecture search by modular inheritable crossover
Deep neural networks are widely used in the domain of image classification, and a large number of excellent deep neural networks have …
Cheng He
,
Hao Tan
,
Shihua Huang
,
Ran Cheng
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DOI
Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
Recently, increasing works have been proposed to drive evolutionary algorithms using machine-learning models. Usually, the performance …
Cheng He
,
Shihua Huang
,
Ran Cheng
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Manifold Learning-Inspired Mating Restriction for Evolutionary Multiobjective Optimization With Complicated Pareto Sets
Under certain smoothness assumptions, the Pareto set of a continuous multiobjective optimization problem is a piecewise continuous …
Linqiang Pan
,
Lianghao Li
,
Ran Cheng
,
Cheng He
,
Kay Chen Tan
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DOI
Paired Offspring Generation for Constrained Large-Scale Multiobjective Optimization
Constrained multiobjective optimization problems (CMOPs) widely exist in real-world applications, and they are challenging for …
Cheng He
,
Ran Cheng
,
Ye Tian
,
Xingyi Zhang
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Adaptive dropout for high-dimensional expensive multiobjective optimization
Various works have been proposed to solve expensive multiobjective optimization problems (EMOPs) using surrogate-assisted evolutionary …
Jianqing Lin
,
Cheng He
,
Ran Cheng
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DOI
An inverse design method for supercritical airfoil based on conditional generative models
Inverse design has long been an efficient and powerful design tool in the aircraft industry. In this paper, a novel inverse design …
Jing Wang
,
Runze Li
,
Cheng He
,
Haixin Chen
,
Ran Cheng
,
Chen Zhai
,
Miao Zhang
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DOI
Adaptive simulated binary crossover for rotated multi-objective optimization
Crossover is a crucial operation for generating promising offspring solutions in evolutionary multi-objective optimization. Among …
Linqiang Pan
,
Wenting Xu
,
Lianghao Li
,
Cheng He
,
Ran Cheng
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DOI
RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
Despite the remarkable successes of convolutional neural networks (CNNs) in computer vision, it is time-consuming and error-prone to …
Hao Tan
,
Ran Cheng
,
Shihua Huang
,
Cheng He
,
Changxiao Qiu
,
Fan Yang
,
Ping Luo
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DOI
Reformulating preferences into constraints for evolutionary multi- and many-objective optimization
Despite that the reference point based preference articulation plays a vital role in evolutionary multi- and many-objective …
Zhanglu Hou
,
Cheng He
,
Ran Cheng
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DOI
Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers
Ratio error (RE) estimation of the voltage transformers (VTs) plays an important role in modern power delivery systems. Existing RE …
Cheng He
,
Ran Cheng
,
Chuanji Zhang
,
Ye Tian
,
Qin Chen
,
Xin Yao
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DOI
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