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[NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

License: MIT License

Python 22.92% Jupyter Notebook 66.60% CMake 0.08% C++ 9.96% C 0.43%
ant-colony-optimization bin-packing-problem capacitated-vehicle-routing-problem combinatorial-optimization deep-reinforcement-learning graph-neural-networks knapsack-problem meta-heuristic neural-combinatorial-optimization neural-network pytorch reinforcement-learning routing-problem scheduling-problem traveling-salesman-problem vehicle-routing-problem

deepaco's Introduction

Hi there 🙋! I'm Haoran Ye (叶皓然), an enthusiastic AI learner!

deepaco's People

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deepaco's Issues

mkp问题的验证集

你好!因为我想试图针对自己的优化算法构建验证集,但是我不知道该怎么做,不过我似乎没有在/data文件夹下面看到mkp问题的相应的验证集。(可能是我读代码有遗漏?)
总之,希望能得到你的回复,many thx!

Integration with RL4CO

Hi there 👋🏼
Great job with your paper and library!
We are actively developing RL4CO, a library for all things Reinforcement Learning for Combinatorial Optimization. We would like to include your work as well in the library; after inspecting the code, we got several ideas on how to modularize DeepACO.
If you would like to contribute to RL4CO, feel free to contact us - perhaps via Slack - or by submitting issues or PRs.
Looking forward for your poster at NeurIPS ;)

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