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Abstract / Description of output
Some optimisation problems require a random-looking solution with no apparent patterns, for reasons of fairness, anonymity, undetectability or unpredictability. Randomised search is not a good general approach because problem constraints and objective functions may lead to solutions that are far from random.We propose a constraint-based approach to finding pseudo-random solutions, inspired by the Kolmogorov complexity definition of randomness and by data compression methods.Our “entropy constraints” can be implemented in constraint programming systems using well-known global constraints. We apply them to a problem from experimental psychology and to a factory inspection problem.
Original language | English |
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Title of host publication | Principles and Practice of Constraint Programming |
Subtitle of host publication | Proceedings of the 21st International Conference, CP 2015, Cork, Ireland, August 31 - September 4, 2015 |
Editors | Gilles Pesant |
Publisher | Springer |
Pages | 351-366 |
ISBN (Electronic) | 9783319232195 |
ISBN (Print) | 9783319232188 |
DOIs | |
Publication status | Published - 2015 |
Event | 21st International Conference on Principles and Practice of Constraint Programming (CP 2015) - Cork, Ireland Duration: 31 Aug 2015 → 4 Sept 2015 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 9255 |
Conference
Conference | 21st International Conference on Principles and Practice of Constraint Programming (CP 2015) |
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Country/Territory | Ireland |
City | Cork |
Period | 31/08/15 → 4/09/15 |
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Dive into the research topics of 'Randomness as a constraint'. Together they form a unique fingerprint.Activities
- 1 Participation in conference
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21st International Conference on Principles and Practice of Constraint Programming (CP 2015)
Roberto Rossi (Participant)
2015Activity: Participating in or organising an event types › Participation in conference