wangqianlongucas / Xuelangyun2022-automobile-production-scheduling-opt-TOP1-solution

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2022-Xuelangyun-automobile-production-scheduling-opt-TOP1-solution

方案说明

代码运行

python -m pip install --upgrade pip
pip install -r requirements.txt

# 全量运行所有数据,默认batch size=8(总时长5-6h)
python ./src/pymoo_main.py

# 单独运行某个数据集
python ./src/single_pymoo_main.py --name data_103

文件目录


├── README.md          <- The top-level README for developers using this project.
├── data
│   ├── interim        <- 过程数据,包含每个数据集的优化结果
│   ├── output         <- 结果数据,包含全量数据集优化的.xlsx文件
│   └── raw            <- 原始数据
│
│
├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
│                         generated with `pip freeze > requirements.txt`
└── src                <- Source code for use in this project.

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License:MIT License


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Language:Python 100.0%