Junaid199f / GA_MED_NAS_SUR

Code for the article "Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification" accepted in GECCO-2022 Conference Companion

Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification

This is the companion repository for our paper titled "Designing Convolutional Neural Networks using Surrogate assisted Genetic Algorithm for Medical Image Classification". This paper has been accepted at the The Genetic and Evolutionary Computation Conference Companion.

Data

The data used in this project comes from the [MEDMNIST(http://medmnist.com) and CIFAR-10 dataset]

Requirements

The code runs using Python 3.9. You will need to install the packages present in the requirements.txt file.

pip install -r requirements.txt

Run the experiments

To simply run all the experiments, you can type:

python3 main.py run_all

If you have any questions, please open an issue or email us:

M. Junaid Ali : [e-mail]