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Evolutionary Computation

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[IEEE TEVC] Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment
07 2月

[IEEE TEVC] Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

By EMIEvolutionary Computation
Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan and Kalyanmoy Deb Abstract: The ongoing advancements…
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[IEEE ToG] Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
20 9月

[IEEE ToG] Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games

By EMIEvolutionary Computation
Hui Bai, Ruimin Shen, Yue Lin, Botian Xu, and Ran Cheng* Abstract: Despite the emerging progress of …
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[IEEE TCYB] Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping (BLVG)
16 5月

[IEEE TCYB] Evolutionary Large-Scale Dynamic Optimization Using Bilevel Variable Grouping (BLVG)

By EMIEvolutionary Computation
Hui Bai, Ran Cheng*, Danial Yazdani, Kay Chen Tan, Yaochu Jin   Abstract: Variable grouping provides…
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[IEEE TCYB] Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)
26 7月

[IEEE TCYB] Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)

By EMIDeep Learning, Evolutionary Computation
Cheng He, Shihua Huang, Ran Cheng*, Kay Chen Tan, Yaochu Jin Abstract: Recently, increasing works ha…
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[IEEE TNNLS] RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning
24 7月

[IEEE TNNLS] RelativeNAS: Relative Neural Architecture Search via Slow-Fast Learning

By EMIDeep Learning, Evolutionary Computation
Hao Tan, Ran Cheng*, et al. Abstract: Despite the remarkable success of convolutional neur…
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[IEEE TEVC] Accelerating Large-scale Multiobjective Optimization via Problem Reformulation
21 7月

[IEEE TEVC] Accelerating Large-scale Multiobjective Optimization via Problem Reformulation

By EMIEvolutionary Computation
Cheng He et al. Abstract: With the progress in industrial automation, the demands for black-box mult…
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IEEE CIS Shenzhen Chapter: https://r10.ieee.org/shenzhen-cis/

SUSTech: https://sustech.edu.cn/

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  • +86 0755 88015179
  • ranchengcn@gmail.com
  • Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China (518055)

Contact Us

  • +86 0755 88015179
  • ranchengcn@gmail.com
  • Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China (518055)

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