[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.
@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}
}