A Survey on Evolutionary Neural Architecture Search

• Published in: IEEE transaction on neural networks and learning systems Vol. 34; no. 2; pp. 550 - 570
• Main Authors: Liu, Yuqiao, Sun, Yanan, Xue, Bing, Zhang, Mengjie, Yen, Gary G., Tan, Kay Chen
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Computer architecture; Convolutional neural networks; Deep learning; Design; Evolutionary computation; evolutionary computation (EC); evolutionary neural architecture search (NAS); image classification; Neural networks; Optimization; Search problems; Statistics

Deep neural networks (DNNs) have achieved great success in many applications. The architectures of DNNs play a crucial role in their performance, which is usually manually designed with rich expertise. However, such a design process is labor-intensive because of the trial-and-error process and also...