Data and code accompanying the PhD dissertation "Optimising Discrete Problems: Decision Diagrams and Context-Aware Heuristics."
DOI:10.4121/b46f4cd5-9e8c-4868-82c6-21e38fd6a317.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
For a link that will always point to the latest version, please use
DOI: 10.4121/b46f4cd5-9e8c-4868-82c6-21e38fd6a317
DOI: 10.4121/b46f4cd5-9e8c-4868-82c6-21e38fd6a317
Datacite citation style
Eigbe, Eghonghon (2025): Data and code accompanying the PhD dissertation "Optimising Discrete Problems: Decision Diagrams and Context-Aware Heuristics.". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/b46f4cd5-9e8c-4868-82c6-21e38fd6a317.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Licence MIT
Interoperability
Data and code accompanying the PhD dissertation "Optimising Discrete Problems: Decision Diagrams and Context-Aware Heuristics"
The dataset contains code to reproduce the experiments in Chapter 3, 4, 6, 7, and 8. The benchmarks on which these experiments were carried out are also included in the dataset. The purpose of the code is to validate the theory presented in these chapters and empirically compare the performance of the algorithms and methods proposed in this dissertation with similar state-of-the-art methods.
History
- 2025-10-21 first online, published, posted
Publisher
4TU.ResearchDataFormat
script/.py script/.cpp script/.rs spreadsheet/.csv benchmarks/.xml benchmarks/.txtOrganizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Software TechnologyDATA
Files (2)
- 6,272 bytesMD5:
68f67869c0d9c2f581ba961b8d80b8f5README.md - 1,720,804,863 bytesMD5:
b16dba91d469e0e433da26c809e944e0Data Submission.zip -
download all files (zip)
1,720,811,135 bytes unzipped





