Easy, adaptable and high-quality Modelling with domain-specific Constraint Patterns
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Abstract (arXiv)
Domain-specific constraint patterns are introduced, which form the counterpart to design patterns in software engineering for the constraint programming setting. These patterns describe the expert knowledge and best-practice solution to recurring problems and include example implementations. We aim to reach a stage where, for common problems, the modelling process consists of simply picking the applicable patterns from a library of patterns and combining them in a model. This vastly simplifies the modelling process and makes the models simple to adapt. By making the patterns domain-specific we can further include problem-specific modelling ideas, including specific global constraints and search strategies that are known for the problem, into the pattern description. This ensures that the model we obtain from patterns is not only correct but also of high quality. We introduce domain-specific constraint patterns on the example of job shop and flow shop, discuss their advantages and show how the occurrence of patterns can automatically be checked in an event log.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 24 references that are in the map. First posted on arXiv 6 Jun 2022.
Builds on
3 of 24 references.
References · 3
- 2021Efficient Multiple Constraint Acquisitioncited by 6
- 2018Automating Personnel Rostering by Learning Constraints Using Tensorscited by 5
- 2015The Inductive Constraint Programming Loopcited by 3
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Citing papers per year: 2022: 1.
1 paper.
- 2022Towards Automated Process Planning and Miningcited by 1
- 2022Towards Automated Process Planning and Mining18 Aug 2022