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Dataset for "Instance dataset for a multiprocessor scheduling problem with multiple time windows and time lags: Similar instances with large differences in difficulty"
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, Faculty of Science & Engineering. Saab AB.ORCID iD: 0000-0002-9498-1924
Linköping University, Department of Mathematics, Applied Mathematics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2081-2888
2022 (English)Data set, Primary data
Abstract [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" (In revision). A version-controlled repository hosting the dataset is available at https://gitlab.liu.se/eliro15/multiprocessor_scheduling_inst

Place, publisher, year
Linköping: Linköping University Electronic Press, 2022.
Version
0.1
Keywords [en]
multiprocessor scheduling, constraint programming, multiple time windows, time lags, exact time lags, instances, instance dataset, avionics scheduling
National Category
Computational Mathematics
Identifiers
URN: urn:nbn:se:liu:diva-188222DOI: 10.48360/etww-2281OAI: oai:DiVA.org:liu-188222DiVA, id: diva2:1693510
Available from: 2022-09-07 Created: 2022-09-07 Last updated: 2022-09-09

Open Access in DiVA

Multiprocessor scheduling instances(390314 kB)27 downloadsDescription of content
File information
File name DATASET01.zipFile size 390314 kBChecksum SHA-512Description This zip-file contains a snapshot of the Multiprocessor scheduling instances-dataset hosted at https://gitlab.liu.se/eliro15/multiprocessor_scheduling_inst
ed3e4410d6cb978be1518651f90e7bf5bfc0859262a1e321f16428a64dcf261190fa6a9002ed80fd4e6ff78ac80978c972ef695bc21dbe21a636e8c8f880dad6
Type datasetMimetype application/zip

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Publisher's full textMultiprocessor scheduling instances

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Karlsson, EmilRönnberg, Elina

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Karlsson, EmilRönnberg, Elina
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Applied MathematicsFaculty of Science & Engineering
Computational Mathematics
Karlsson, E. & Rönnberg, E. (2022). Logic-based Benders decomposition with a partial assignment acceleration technique for avionics scheduling. Computers & Operations Research, 146, Article ID 105916.

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf