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
  • O─čuz, C. (Ceyda) orcid logo
  • Salman, F.S. (F. Sibel) orcid logo

DATA

files