Cheng He (何成)
Cheng He (何成)
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"multiobjective optimization"
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
Dimension Dropout for Evolutionary High-Dimensional Expensive Multiobjective Optimization
In the past decades, a number of surrogate-assisted evolutionary algorithms (SAEAs) have been developed to solve expensive …
Jianqing Lin
,
Cheng He
,
Ran Cheng
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DOI
Operator-Adapted Evolutionary Large-Scale Multiobjective Optimization for Voltage Transformer Ratio Error Estimation
Large-scale multiobjective optimization problems (LSMOPs) exist widely in real-world applications, and they are challenging for …
Changwu Huang
,
Lianghao Li
,
Cheng He
,
Ran Cheng
,
Xin Yao
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DOI
Population Sizing of Evolutionary Large-Scale Multiobjective Optimization
Large-scale multiobjective optimization problems (LSMOPs) are emerging and widely existed in real-world applications, which involve a …
Cheng He
,
Ran Cheng
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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
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
Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization
Offspring generation plays an important role in evolutionary multiobjective optimization. However, generating promising candidate …
Cheng He
,
Ran Cheng
,
Danial Yazdani
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DOI
Accelerating Large-Scale Multiobjective Optimization via Problem Reformulation
In this paper, we propose a framework to accelerate the computational efficiency of evolutionary algorithms on large-scale …
Cheng He
,
Lianghao Li
,
Ye Tian
,
Xingyi Zhang
,
Ran Cheng
,
Yaochu Jin
,
Xin Yao
Cite
DOI
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