Estimation

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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Evolutionary Large-Scale Multiobjective Optimization for Ratio Error Estimation of Voltage Transformers
Ratio error (RE) estimation of the voltage transformers (VTs) plays an important role in modern power delivery systems. Existing RE …
Cheng He, Ran Cheng, Chuanji Zhang, Ye Tian, Qin Chen, Xin Yao
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Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
Surrogate models have shown to be effective in assisting metaheuristic algorithms for solving computationally expensive complex …
Chaoli Sun, Yaochu Jin, Ran Cheng, Jinliang Ding, Jianchao Zeng
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