Dataset for "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty"

SND-ID: 2024-379. Version: 1. DOI: https://doi.org/10.48360/etww-2281

Citation

Creator/Principal investigator(s)

Emil Karlsson - Linköping University orcid

Research principal

Linköping University rorId

Description

Here lies the raw dataset for the publication "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty".

The following files and folders are made available here:
- [README.md](README.md). Describes the repository
- [instances](instances). Folder that contains the instances of the dataset (.zip files) together with files containing supporting information about instances (.txt files)
- [main.py](main.py). Main entry point for solving an instance with a Constraint Programming model
- [requirements.txt](requirements.txt). File containing the needed Python Packages to run the tests
- [LICENSE](LICENSE). File containing the License
- [data.py](data.py). Contains dataclasses that represents a problem definition
- [instance_io.py](instance_io.py). Contains methods for parsing instances from disc and writing instances to disc

... Show more..
Here lies the raw dataset for the publication "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty".

The following files and folders are made available here:
- [README.md](README.md). Describes the repository
- [instances](instances). Folder that contains the instances of the dataset (.zip files) together with files containing supporting information about instances (.txt files)
- [main.py](main.py). Main entry point for solving an instance with a Constraint Programming model
- [requirements.txt](requirements.txt). File containing the needed Python Packages to run the tests
- [LICENSE](LICENSE). File containing the License
- [data.py](data.py). Contains dataclasses that represents a problem definition
- [instance_io.py](instance_io.py). Contains methods for parsing instances from disc and writing instances to disc
- [cp_solve.py](cp_solve.py). Methods for creating a Constraint Programming model of the problem with IBM ILOG CP Optimizer
- [create_sbatch.py](create_sbatch.py). Entry point for creating sbatch files
- [sbatch](sbatch). Folder that contains SBATCH files for the instances in the dataset

The dataset was originally published in DiVA and moved to SND in 2024. Show less..

Data contains personal data

No

Language

Method and outcome

Data format / data structure

Data collection
Geographic coverage
Administrative information

Contributor(s)

Elina Rönnberg - Linköping University orcid

Identifiers

Topic and keywords
Publications
Published: 2022-09-07
Last updated: 2024-07-04