1. Requirements

• Python 3.8
• torch == 1.11.0
• deap == 1.3.1
• numpy == 1.21.5
• pandas == 1.4.1

2. Running the code

python land_GA.py or python SML.py

3. Reference

If you find our code or dataset is useful for your research, please cite our paper. BibTex :

@ARTICLE{9996560,
  title={AutoML With Parallel Genetic Algorithm for Fast Hyperparameters Optimization in Efficient IoT Time Series Prediction}, 
  author={Wu, Di and Guan, Qinghua and Fan, Zhe and Deng, Hanhui and Wu, Tao},
  journal={IEEE Transactions on Industrial Informatics}, 
  year={2023},
  volume={19},
  number={9},
  pages={9555-9564},

Or :

D. Wu, Q. Guan, Z. Fan, H. Deng and T. Wu, "AutoML With Parallel Genetic Algorithm for Fast Hyperparameters Optimization in Efficient IoT Time Series Prediction," in IEEE Transactions on Industrial Informatics, vol. 19, no. 9, pp. 9555-9564, Sept. 2023.