Tabu-Based Adaptive Large Neighbourhood Search for Time/Sequence-Dependent Scheduling Problems with Time Windows

Datacite citation style:
He, Lei; de Weerdt, M.M. (Mathijs); Yorke-Smith, Neil (2019): Tabu-Based Adaptive Large Neighbourhood Search for Time/Sequence-Dependent Scheduling Problems with Time Windows. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:1ad913e4-2518-44c3-b497-fb106cf84e05
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

The dataset contains the benchmark data for a class of scheduling problems with time/sequence-dependent setup times and time windows. It includes a real-world multi-orbit agile Earth observation satellite scheduling problem, and an order acceptance and scheduling problem. The source code of the algorithm ALNS/TPF is also included.

History

  • 2019-08-13 first online, published, posted

Publisher

4TU.Centre for Research Data

Format

media types: application/octet-stream, application/zip, text/plain

Contributors

  • Cesaret, B. (Bahriye) orcid logo
  • Oğuz, C. (Ceyda) orcid logo
  • Salman, F.S. (F. Sibel) orcid logo

DATA

Files (1)

  • 7,356,502 bytesMD5:3ed4448f0c7ca46587962cd107f81134data.zip