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        <datestamp>2025-07-01</datestamp>
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          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>http://purl.org/dc/dcmitype/Dataset</dc:type>
          <dc:identifier>https://doi.org/10.48360/etww-2281</dc:identifier>
          <dc:title xml:lang="en">Dataset for "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty"</dc:title>
          <dc:title xml:lang="sv">Dataset for "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty"</dc:title>
          <dc:creator>https://orcid.org/0000-0002-9498-1924</dc:creator>
          <dc:contributor>0000-0002-2081-2888</dc:contributor>
          <dc:subject xml:lang="en">Computational Mathematics</dc:subject>
          <dc:subject xml:lang="sv">Beräkningsmatematik</dc:subject>
          <dc:description xml:lang="en">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.</dc:description>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:publisher xml:lang="en">Linköping University</dc:publisher>
          <dc:publisher xml:lang="sv">Linköpings universitet</dc:publisher>
          <dc:date>2022-09-07T00:00:00Z</dc:date>
          <dc:language>eng</dc:language>
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