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Solving set-valued constraint satisfaction problems
- Source :
- Computing, Computing, Springer Verlag, 2012, 94 (2), pp.297-311. ⟨10.1007/s00607-011-0169-5⟩
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- In this paper, we consider the resolution of constraint satisfaction problems in the case where the variables of the problem are subsets of $${\mathbb{R}^{n}}$$. In order to use a constraint propagation approach, we introduce set intervals (named i-sets), which are sets of subsets of $${\mathbb{R}^{n}}$$ with a lower bound and an upper bound with respect to the inclusion. Then, we propose basic operations for i-sets. This makes possible to build contractors that are then used by the propagation to solve problem involving sets as unknown variables. In order to illustrate the principle and the efficiency of the approach, a testcase is provided.
- Subjects :
- 0102 computer and information sciences
02 engineering and technology
Constraint satisfaction
01 natural sciences
Upper and lower bounds
Theoretical Computer Science
[SPI.AUTO]Engineering Sciences [physics]/Automatic
Combinatorics
Constraint logic programming
0202 electrical engineering, electronic engineering, information engineering
Interval analysis
Contractors
Set intervals
Constraint satisfaction problem
Mathematics
Discrete mathematics
Numerical Analysis
Hybrid algorithm (constraint satisfaction)
Order (ring theory)
Constraint propagation
Computer Science Applications
Computational Mathematics
Computational Theory and Mathematics
010201 computation theory & mathematics
Constraint graph
Local consistency
020201 artificial intelligence & image processing
Software
Subjects
Details
- Language :
- English
- ISSN :
- 0010485X and 14365057
- Database :
- OpenAIRE
- Journal :
- Computing, Computing, Springer Verlag, 2012, 94 (2), pp.297-311. ⟨10.1007/s00607-011-0169-5⟩
- Accession number :
- edsair.doi.dedup.....09d78127bfb3c75162a77195b194171e
- Full Text :
- https://doi.org/10.1007/s00607-011-0169-5⟩