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SUNNY-CP : a Sequential CP Portfolio Solver

Roberto Amadini 1, 2 Maurizio Gabbrielli 2, 1 Jacopo Mauro 2, 1
1 DISI - Department of Computer Science and Engineering [Bologna]
2 FOCUS - Foundations of Component-based Ubiquitous Systems
CRISAM - Inria Sophia Antipolis - Méditerranée , DISI - Dipartimento di Informatica - Scienza e Ingegneria [Bologna]
Abstract : The Constraint Programming (CP) paradigm allows to model and solve Constraint Satisfaction / Optimization Problems (CSPs / COPs). A CP Portfolio Solver is a particular constraint solver that takes advantage of a portfolio of different CP solvers in order to solve a given problem by properly exploiting Algorithm Selection techniques. In this work we present sunny-cp: a CP portfolio for solving both CSPs and COPs that turned out to be competitive also in the MiniZinc Challenge, the reference competition for CP solvers.
Keywords : Categories and Subject Descriptors I2 [Computing Methodologies]: Artificial Intelligence— Constraint Programming Algorithm Portfolios Solvers and Tools
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https://hal.inria.fr/hal-01227589
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Submitted on : Monday, November 23, 2015 - 5:28:50 PM
Last modification on : Friday, October 30, 2020 - 12:04:03 PM
Long-term archiving on: : Wednesday, February 24, 2016 - 10:21:01 AM

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Roberto Amadini, Maurizio Gabbrielli, Jacopo Mauro. SUNNY-CP : a Sequential CP Portfolio Solver. SAC, Apr 2015, Salamanca, Spain. ⟨10.1145/2695664.2695741⟩. ⟨hal-01227589⟩

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