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