Cheng He (何成)
Cheng He (何成)
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"Evolutionary algorithm"
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
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
Iterated Problem Reformulation for Evolutionary Large-Scale Multiobjective Optimization
Due to the curse of dimensionality, two main issues remain challenging for applying evolutionary algorithms (EAs) to large-scale …
Cheng He
,
Ran Cheng
,
Ye Tian
,
Xingyi Zhang
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DOI
Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling
In evolutionary multiobjective optimization, the Pareto front (PF) is approximated by using a set of representative candidate solutions …
Ye Tian
,
Xingyi Zhang
,
Ran Cheng
,
Cheng He
,
Yaochu Jin
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DOI
Efficient Evolutionary Deep Neural Architecture Search (NAS) by Noisy Network Morphism Mutation
Deep learning has achieved enormous breakthroughs in the field of image recognition. However, due to the time-consuming and error-prone …
Yiming Chen
,
Tianci Pan
,
Cheng He
,
Ran Cheng
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DOI
A Multistage Evolutionary Algorithm for Better Diversity Preservation in Multiobjective Optimization
Diversity preservation is a crucial technique in multiobjective evolutionary algorithms (MOEAs), which aims at evolving the population …
Ye Tian
,
Cheng He
,
Ran Cheng
,
Xingyi Zhang
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DOI
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