Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling

Name: Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling
Creator: Anbang Liu
License: https://creativecommons.org/licenses/by/4.0/
Keywords: Artificial Intelligence

Citation Author(s):: Anbang Liu (Tsinghua University)
Submitted by:: Anbang Liu
Last updated:: Mon, 10/31/2022 - 12:52
DOI:: 10.21227/09ak-8k65

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Abstract

Dataset for paper "Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling"

Instructions:

to be arrival

Dataset Files

This is the trained parameters for enhanced pointer network (Size: 68.57 MB)
train_batch1.zip (Size: 291.17 MB)
dataset for offline training (Size: 5.95 GB)
dataset_batch2.zip (Size: 5.95 GB)
training_data_batch.zip (Size: 4.42 GB)

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DATASET TYPE: data
USERID: 1353045
DATASETID: 14627

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Dataset Citation

Anbang Liu, "Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling", IEEE Dataport, August 18, 2022, doi:10.21227/09ak-8k65

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doi = {10.21227/09ak-8k65},
url = {https://dx.doi.org/10.21227/09ak-8k65},
author = {Anbang Liu},
publisher = {IEEE Dataport},
title = {Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling},
year = {2022} }

TY - DATA
T1 - Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling
AU - Anbang Liu
PY - 2022
PB - IEEE Dataport
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Anbang Liu (2022). Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling. IEEE Dataport. https://dx.doi.org/10.21227/09ak-8k65

Anbang Liu 2022 Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling. Available at: https://dx.doi.org/10.21227/09ak-8k65

Anbang Liu.(2022). "Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling." Web,

1. Anbang Liu. Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling [Internet]. IEEE Dataport; 2022. Available from: https://dx.doi.org/10.21227/09ak-8k65

Anbang Liu, "Integrating Machine Learning and Mathematical Optimization for Job Shop Scheduling,", doi: 10.21227/09ak-8k65.