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GeM-EA

Requirements

This code is tested with Python 3.11 and depends on common scientific libraries:

  • numpy
  • scipy
  • scikit-learn
  • torch
  • tqdm

The SDDObench benchmark is included under benchmark/SDDObench.

Quick Start

Run the example experiment on SDDObench:

python main_SDDObench.py

License

TBD. If you use this code for academic work, please cite the corresponding paper once it is available.

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GeM-EA: A Generative Meta-Evolutionary Algorithm for Streaming Data-Driven Optimization

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