International audienceThe 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
International audienceThe SUNNY algorithm is a portfolio technique originally tailored for Constrain...
International audienceIt is well recognized that a single, arbitrarily efficient solver can be signi...
International audienceWithin the Constraints Satisfiability Problems (CSP) context, a methodology th...
International audienceThe Constraint Programming (CP) paradigm allows to model and solve Constraint ...
In Constraint Programming (CP) a portfolio solver combines a variety of different constraint solvers...
The Constraint Programming (CP) paradigm allows to model and solve Constraint Satisfaction/Optimizat...
In Constraint Programming (CP) a portfolio solver combines a variety of difierent con- straint solve...
International audienceIn Constraint Programming (CP) a portfolio solver combines a variety of differ...
International audienceIn Constraint Programming (CP), a portfolio solver uses a variety of different...
International audienceWithin the context of constraint solving, a portfolio approach allows one to e...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
International audienceThe SUNNY algorithm is a portfolio technique originally tailored for Constrain...
International audienceIt is well recognized that a single, arbitrarily efficient solver can be signi...
International audienceWithin the Constraints Satisfiability Problems (CSP) context, a methodology th...
International audienceThe Constraint Programming (CP) paradigm allows to model and solve Constraint ...
In Constraint Programming (CP) a portfolio solver combines a variety of different constraint solvers...
The Constraint Programming (CP) paradigm allows to model and solve Constraint Satisfaction/Optimizat...
In Constraint Programming (CP) a portfolio solver combines a variety of difierent con- straint solve...
International audienceIn Constraint Programming (CP) a portfolio solver combines a variety of differ...
International audienceIn Constraint Programming (CP), a portfolio solver uses a variety of different...
International audienceWithin the context of constraint solving, a portfolio approach allows one to e...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
International audienceThe SUNNY algorithm is a portfolio technique originally tailored for Constrain...
International audienceIt is well recognized that a single, arbitrarily efficient solver can be signi...
International audienceWithin the Constraints Satisfiability Problems (CSP) context, a methodology th...