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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 1
11-18

Review of research on neural architecture search technology

Wu Jiahui1,2
Li Keyan1,2
Chen Lixin1,2
Zhang Jianuo1,2
Liu Shuaibing1,2
Lu Peng1,2,3
1. Institute of Electrical & Information Engineering, Zhengzhou University, Zhengzhou 450001, China
2. Robot Perception & Control Henan Engineering Laboratory, Zhengzhou 450001, China
3. Research Center for Intelligent Science & Engineering Technology of TCM, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2024.05.0172

Abstract

The purpose of NAS is to automatically optimize and generate high-performance network architectures for specific tasks, in order to reduce the dependence of architecture design on expert experience and human resource consumption in the architecture design process. It mainly includes three components: search space, search strategy, and evaluation strategy. Early NAS requires multiple GPUs to complete searches in multiple days, and the high search time and computational cost are the core issues of NAS. To help researchers quickly and comprehensively understand the field of NAS, this paper provided a new perspective to sort out existing NAS work. Firstly, this paper analyzed the early work of NAS and elucidated the core issues and their origins. Secondly, focusing on the three categories of methods to address the core issues of NAS: reducing the search space of architectures, decreasing the time for evaluating candidate architectures, and reducing the time for evaluating architectures, this paper conducted a targeted analysis, comparison, and summary of algorithms in this field. Finally, it summarized the main research directions in this field for future work.

Foundation Support

国家重点研发计划资助项目(2020YFC2006100)
河南省高等学校重点科研资助项目(22A520009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.05.0172
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 1
Section: Survey
Pages: 11-18
Serial Number: 1001-3695(2025)01-002-0011-08

Publish History

[2025-01-05] Printed Article

Cite This Article

武家辉, 李科研, 陈丽新, 等. 神经架构搜索技术研究综述 [J]. 计算机应用研究, 2025, 42 (1): 11-18. (Wu Jiahui, Li Keyan, Chen Lixin, et al. Review of research on neural architecture search technology [J]. Application Research of Computers, 2025, 42 (1): 11-18. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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