He, Lei; de Weerdt, Mathijs; Yorke-Smith, Neil (2019): Source code for the article: Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:3a23b216-3762-4a61-ba2c-d3df6dc53268

Dataset

• Manufacturing Engineering
• Other Information and Computing Sciences
• Computation Theory and Mathematics

Adaptive large neighbourhood search, Factor analysis, Hybrid algorithms, Tabu search, Time windows, Time/sequence-dependent scheduling

CC BY-NC 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Lei He , Mathijs de Weerdt , Neil Yorke-Smith

In intelligent manufacturing, it is important to schedule orders from customers efficiently. Make-to-order companies may have to reject or postpone orders when the production capacity does not meet the demand. Many such real-world scheduling problems are characterised by processing times being dependent on the start time (time dependency) or on the preceding orders (sequence dependency), and typically have an earliest and latest possible start time. We introduce and analyze four algorithmic ideas for this class of time/sequence-dependent over-subscribed scheduling problems with time windows: a novel hybridization of adaptive large neighbourhood search (ALNS) and tabu search (TS), a new randomization strategy for neighbourhood operators, a partial sequence dominance heuristic, and a fast insertion strategy. This dataset contains the source code of our hybrid algorithm: ALNS/TPF. If you use this code, please cite the following paper: He L , De Weerdt M , Yorke-Smith N. Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm[J]. Journal of Intelligent Manufacturing, 2019, DOI: 10.1007/s10845-019-01518-4.

• 2019-12-28 first online, published, posted

4TU.Centre for Research Data

media types: application/octet-stream, application/x-dosexec, application/x-font-ttf, application/zip, text/plain, text/xml

• https://aaai.org/ojs/index.php/ICAPS/article/view/3475
• https://doi.org/10.1007/s10845-019-01518-4
• https://doi.org/10.1016/j.cie.2019.106102
• https://doi.org/10.4121/uuid:1a4e5895-7dae-4b6a-9315-a9e8cb463d73
• https://doi.org/10.4121/uuid:1ad913e4-2518-44c3-b497-fb106cf84e05
• https://doi.org/10.4121/uuid:c3623076-a1ac-4103-ad31-3068a28312f9

• China Hunan Provincial Innovation Foundation for Postgraduate, CX2018B020
• China Scholarship Council, 201703170269

TU Delft, Faculty of Faculty of Engineering, Mathematics and Computer Science (EEMCS)