Automatically optimizing heuristics for robust scale-free network design via large language models

Abstract Achieving scale-free robust networks is a challenging problem due to its NP-hard nature and the vast, complex, high-dimensional solution space. Current methods, from handcrafted feature extraction to deep learning approaches, have made certain advancements but remain rigid and complex, ofte...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	He Yu, Jing Liu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Evolutionary algorithms Large language models Complex networks Network robustness Prompt engineering Deep learning
Online-Zugang:	https://doi.org/10.1038/s41598-025-25031-2
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