International audienceIn Constraint Programming (CP) a portfolio solver combines a variety of different constraint solvers for solving a given problem. This fairly recent approach enables to significantly boost the performance of single solvers, especially when multicore architectures are exploited. In this work we give a brief overview of the portfolio solver sunny-cp, and we discuss its performance in the MiniZinc Challenge-the annual international competition for CP solvers-where it won two gold medals in 2015 and 2016
In Constraint Programming (CP), a portfolio solver uses a variety of different solvers for solving a...
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 audienceIn Constraint Programming (CP) a portfolio solver combines a variety of differ...
In Constraint Programming (CP) a portfolio solver combines a variety of difierent con- straint solve...
In Constraint Programming (CP) a portfolio solver combines a variety of different constraint solvers...
International audienceThe Constraint Programming (CP) paradigm allows to model and solve Constraint ...
International audienceIn Constraint Programming (CP), a portfolio solver uses a variety of different...
The Constraint Programming (CP) paradigm allows to model and solve Constraint Satisfaction/Optimizat...
International audienceWithin the context of constraint solving, a portfolio approach allows one to e...
International audienceThe SUNNY algorithm is a portfolio technique originally tailored for Constrain...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
International audienceIt is well recognized that a single, arbitrarily efficient solver can be signi...
In Constraint Programming (CP), a portfolio solver uses a variety of different solvers for solving a...
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 audienceIn Constraint Programming (CP) a portfolio solver combines a variety of differ...
In Constraint Programming (CP) a portfolio solver combines a variety of difierent con- straint solve...
In Constraint Programming (CP) a portfolio solver combines a variety of different constraint solvers...
International audienceThe Constraint Programming (CP) paradigm allows to model and solve Constraint ...
International audienceIn Constraint Programming (CP), a portfolio solver uses a variety of different...
The Constraint Programming (CP) paradigm allows to model and solve Constraint Satisfaction/Optimizat...
International audienceWithin the context of constraint solving, a portfolio approach allows one to e...
International audienceThe SUNNY algorithm is a portfolio technique originally tailored for Constrain...
Recent research has shown that the performance of a single, arbitrarily efficient algorithm can be s...
International audienceIt is well recognized that a single, arbitrarily efficient solver can be signi...
In Constraint Programming (CP), a portfolio solver uses a variety of different solvers for solving a...
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...