Sociology

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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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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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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Large-scale Multiobjective Optimization via Reformulated Decision Variable Analysis
With the rising number of large-scale multiobjective optimization problems (LSMOPs) from academia and industries, some multiobjective …
Cheng He, Ran Cheng, Lianghao Li, Kay Chen Tan, Yaochu Jin
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A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades—Part A
Many real-world optimization problems are dynamic. The field of dynamic optimization deals with such problems where the search space …
Danial Yazdani, Ran Cheng, Donya Yazdani, Jürgen Branke, Yaochu Jin, Xin Yao
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Large-scale Multiobjective Optimization via Problem Decomposition and Reformulation
Large-scale multiobjective optimization problems (LSMOPs) are challenging for existing approaches due to the complexity of objective …
Lianghao Li, Cheng He, Ran Cheng, Linqiang Pan
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Efficient Evolutionary Search of Attention Convolutional Networks via Sampled Training and Node Inheritance
The performance of deep neural networks is heavily dependent on its architecture and various neural architecture search strategies have …
Haoyu Zhang, Yaochu Jin, Ran Cheng, Kuangrong Hao
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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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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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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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