FJSSP Instance Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/google/or-tools/blob/stable/examples/python/flexible_job_shop_sat.py
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资源简介：
该数据集是为了训练和验证BC模型以及CP能力预测器而生成的实例集合。对于BC模型，共生成了1000个训练实例和50个验证实例；而对于CP能力预测器，则生成了1000个训练实例和200个验证实例。这些实例是基于从均匀分布中抽取的参数生成的，包括作业数量、机器数量、操作数和处理时间等。数据集涵盖了从小型到中大型多种实例规模。所涉及的任务是弹性作业车间调度问题。
This dataset is a collection of instances generated for training and validating both the BC model and the CP capability predictor. For the BC model, 1000 training instances and 50 validation instances were generated; for the CP capability predictor, 1000 training instances and 200 validation instances were generated. These instances are constructed using parameters sampled from a uniform distribution, including the number of jobs, number of machines, number of operations, processing time, and other relevant factors. The dataset covers a wide range of instance scales spanning from small to medium-large sizes. The core task addressed by this dataset is the flexible job shop scheduling problem.
提供机构：
OR-Tools
