Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems-Reference-Cited by-同舟云学术

Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Bi Jing¹,Wang Ziqi¹,Yuan Haitao²,Qiao Junfei¹,Zhang Jia³,Zhou MengChu⁴

Affiliation:

1. Beijing University of Technology,Faculty of Information Technology,Beijing,China,100124

2. School of Automation Science and Electrical Engineering, Beihang University,Beijing,China,100191

3. Lyle School of Engineering at Southern Methodist University,Department of Computer Science,Dallas,TX,USA,75205

4. New Jersey Institute of Technology,Department of Electrical and Computer Engineering,Newark,NJ,USA,07102

Funder

National Natural Science Foundation of China (NSFC)

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

Reference39 articles.

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