Ran Cheng (程然)
Ran Cheng (程然)
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Evolutionary multiobjective optimization via efficient sampling-based offspring generation
With the rising number of large-scale multiobjective optimization problems from academia and industries, some evolutionary algorithms …
Cheng He
,
Lianghao Li
,
Ran Cheng
,
Yaochu Jin
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DOI
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A benchmark generator for online dynamic single-objective and multi-objective optimization problems
In the past years, a number of benchmarks have been developed to characterize dynamic optimization problems (DOPs) consisting of a …
Xiaoshu Xiang
,
Ye Tian
,
Ran Cheng
,
Xingyi Zhang
,
Shengxiang Yang
,
Yaochu Jin
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DOI
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SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network
Despite significant advances in image-to-image (I2I) translation with generative adversarial networks (GANs), it remains challenging to …
Shihua Huang
,
Cheng He
,
Ran Cheng
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DOI
Adaptive multiobjective evolutionary algorithm for large-scale transformer ratio error estimation
As a typical large-scale multiobjective optimization problem extracted from real-world applications, the voltage transformer ratio …
Changwu Huang
,
Lianghao Li
,
Cheng He
,
Ran Cheng
,
Xin Yao
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Memory-based variable neighborhood search for green vehicle routing problem with passing-by drivers: a comprehensive perspective
A business delivery model with professional vehicles as well as occasional passing-by vehicles is investigated in this paper. The …
Lei Cao
,
Chun-ming Ye
,
Ran Cheng
,
Zhen-kun Wang
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DOI
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Ternary Compression for Communication-Efficient Federated Learning
Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of …
Jinjin Xu
,
Wenli Du
,
Yaochu Jin
,
Wangli He
,
Ran Cheng
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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
Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping
Variable grouping provides an efficient approach to large-scale optimization, and multipopulation strategies are effective for both …
Hui Bai
,
Ran Cheng
,
Danial Yazdani
,
Kay Chen Tan
,
Yaochu Jin
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DOI
Hybrid Attention-based Transformer Block Model for Distant Supervision Relation Extraction
With an exponential explosive growth of various digital text information, it is challenging to efficiently obtain specific knowledge …
Yan Xiao
,
Yaochu Jin
,
Ran Cheng
,
Kuangrong Hao
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Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning Towards Asynchronous Commercial Games
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance …
Hui Bai
,
Ruimin Shen
,
Yue Lin
,
Botian Xu
,
Ran Cheng
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