3 citations · 7 across the 5 of their papers we have counts for
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cs.AI2024★ 1 cited
AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
He Yu, Jing Liu
Achieving robust networks is a challenging problem due to its NP-hard nature and complex solution space. Current methods, from handcrafted feature extraction to deep learning, have…
cs.AI2024★ 1 cited
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective
Yudong Yang, Kai Wu, Xiangyi Teng +3
The field of evolutionary many-task optimization (EMaTO) is increasingly recognized for its ability to streamline the resolution of optimization challenges with repetitive characte…