Abstract
Answer Set Programming and Constraint Programming constitute declarative programming approaches with different strengths which have already been shown to be highly effective for many hard combinatorial problems. In this article we discuss two hybrid Constraint Answer Set Programming approaches with regard to their suitability for encoding production scheduling problems. Our exemplifications are done on the basis of a production scheduling problem of Infineon Technologies Austria AG.
The authors are funded by FFG (grant 840242) and listed in alphabetical order.
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Notes
- 1.
clingcon, clasp and gringo are available on http://sf.net/projects/potassco/files/.
- 2.
- 3.
In our paper only parts of the models are provided due to the space limit. The full encodings as well as input and output formats can be found at http://isbi.aau.at/hint/problems.
- 4.
The experiments were performed on a system with Intel i7-3930K CPU (3.20 GHz), 64 GB of RAM, running Ubuntu.
- 5.
Instances are available at http://isbi.aau.at/hint/images/lsp/benchmarks.zip.
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Friedrich, G. et al. (2016). Representing Production Scheduling with Constraint Answer Set Programming. In: Lübbecke, M., Koster, A., Letmathe, P., Madlener, R., Peis, B., Walther, G. (eds) Operations Research Proceedings 2014. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-28697-6_23
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DOI: https://doi.org/10.1007/978-3-319-28697-6_23
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