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Neural Architecture Search via Hierarchical Evaluation of Surrogate Models

Year: 2025

Type: article

Abstract: The rapid development of evolutionary deep learning has led to the emergence of various Neural Architecture Search (NAS) algorithms designed to optimize neural network structures. However, these algorithms often face signific... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.064544

Authors: Xiaofeng Liu, Yubin Bao, Fangling Leng

Institution: Northeastern University

Language: English

Topic: Evolutionary Algorithms and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4411285952

FWCI: 0.427

Cites: 23

Cited by: 1

Related to: 10