Skip to content

lixt314/COGP

Repository files navigation

COGP

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification

This is the code for the paper:

Y. Bi, B. Xue and M. Zhang, "An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification," 2019 IEEE Congress on Evolutionary Computation (CEC), Wellington, New Zealand, 2019, pp. 3197-3204. doi: 10.1109/CEC.2019.8790151

If you uses the code, please cite the paper:

@inproceedings{bi2019evolutionary,
title={An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image  Classification},
author={Bi, Ying and Xue, Bing and Zhang, Mengjie},
booktitle={2019 IEEE Congress on Evolutionary Computation (CEC)},
pages={3197--3204},
year={2019},
organization={IEEE}
}

Packages:

DEAP
Numpy
Scikit-Learn
Pillow (PIL)
Scikit-Image

Run

Python3 COGP_main.py
Python3 -m scoop COGP_main.py (use scoop to speed up)

About

An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification

Resources

Stars

4 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages