[CEC2021] A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design
J. Huang, B. Xue, Y. Sun, and M. Zhang, “A flexible variable-length particle swarm optimization approach to convolutional neural network architecture design,” in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021, pp. 934–941.
This paper was nominated for the best student paper award at IEEE CEC 2021.
@INPROCEEDINGS{FPSO,
title={A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design},
author={Huang, Junhao and Xue, Bing and Sun, Yanan and Zhang, Mengjie},
booktitle={2021 IEEE Congress on Evolutionary Computation (CEC)},
year={2021},
pages={934-941},
doi={10.1109/CEC45853.2021.9504716}
}