Abstract
In many application problems, including physical security and wildlife conservation, infrastructure must be configured to ensure or deny paths between specified locations. We model the problem as sub-graph design subject to constraints on paths and path lengths, and propose length-bound reachability constraints. Although reachability in graphs has been modelled before in constraint programming, the interaction of positive and negative reachability has not been studied in depth. We prove that deciding whether a set of positive and negative reachability constraints are satisfiable is NP complete. We show the effectiveness of our approach on decision problems, and also on optimisation problems. We compare our approach with existing constraint models, and we demonstrate significant improvements in runtime and solution costs, on a new problem set.
| Original language | English |
|---|---|
| Title of host publication | 27th International Conference on Principles and Practice of Constraint Programming, CP 2021 |
| Editors | Laurent D. Michel |
| Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
| ISBN (Electronic) | 9783959772112 |
| DOIs | |
| Publication status | Published - 1 Oct 2021 |
| Event | 27th International Conference on Principles and Practice of Constraint Programming, CP 2021 - Virtual, Montpellier, France Duration: 25 Oct 2021 → 29 Oct 2021 |
Publication series
| Name | Leibniz International Proceedings in Informatics, LIPIcs |
|---|---|
| Volume | 210 |
| ISSN (Print) | 1868-8969 |
Conference
| Conference | 27th International Conference on Principles and Practice of Constraint Programming, CP 2021 |
|---|---|
| Country/Territory | France |
| City | Virtual, Montpellier |
| Period | 25/10/21 → 29/10/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
UCC Futures
- Artificial Intelligence and Data Analytics
Keywords
- Constraint Programming
- Graph Connectivity
- Reachability Constraints
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