He, Lei; Guijt, A. (Arthur); de Weerdt, Mathijs; Xing, L. (Lining); Yorke-Smith, Neil (2019): Supplementary data for the article: Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:c3623076-a1ac-4103-ad31-3068a28312f9

Dataset

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

Adaptive large neighbourhood search, Biased random key genetic algorithm, Hybrid steady-state genetic algorithm, Iterated local search, Memetic algorithm, Order Acceptance and Scheduling

CC BY-NC 4.0

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

by Lei He , A. (Arthur) Guijt , Mathijs de Weerdt , L. (Lining) Xing , Neil Yorke-Smith

The Order Acceptance and Scheduling (OAS) consists of simultaneously selecting a subset of orders to be processed as well as determining the associated schedule. A common generalization includes sequence-dependent setup times and time windows. We propose a novel memetic algorithm for this problem, called Sparrow. The dataset contains the source code of Sparrow, as well as our implementation of two state-of-the-art algorithms for the OAS problem from the literature. It also contains some new benchmark instances with more realistic properties. "If you use this data and/or code, please cite the following paper: He L , Guijt A , De Weerdt M , et al. Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art[J]. Computers & Industrial Engineering, 2019, 138."

• 2019-10-31 first online, published, posted

4TU.Centre for Research Data

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

• https://doi.org/10.1016/j.asoc.2016.09.051
• https://doi.org/10.1016/j.cie.2019.106102
• https://doi.org/10.1016/j.cor.2010.09.018
• https://doi.org/10.1016/j.cor.2017.09.006
• https://doi.org/10.4121/uuid:1ad913e4-2518-44c3-b497-fb106cf84e05
• https://doi.org/10.4121/uuid:1a4e5895-7dae-4b6a-9315-a9e8cb463d73
• https://doi.org/10.4121/uuid:3a23b216-3762-4a61-ba2c-d3df6dc53268

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

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

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