Data Set: Deep learning-assisted appointment scheduling under uncertainty
Published: 4 May 2023| Version 1 | DOI: 10.17632/nzyntpcm6k.1
Contributor:
Amirhossein MoosaviDescription
This repository includes ten test instances (each compromising ten variations), one real instance, and an InputReader Python file used in the "Deep learning-assisted appointment scheduling under uncertainty." This data set can be used for future comparisons of the optimization algorithms developed for similar problems.
Files
Institutions
- University of Ottawa
Categories
Operations Management, Mathematical Optimization, Job Shop Scheduling, Convolutional Neural Network, Deep Learning