Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages such as MiniZinc allow the user to declaratively specify such problems in terms of its decision variables and constraints. Subsequently, the MiniZinc model can be compiled into an equivalent (Boolean) SAT formula to be solved by a SAT solver. This thesis reports on the design, implementation and experimental evaluation of the new MiniZinc-SAT compiler, which supports single or even mixed usage of three distinct integer variable encoding methods
In this paper we present two type extensions for the modelling language MiniZinc that allow the repr...
Model reformulation plays an important role in improving models, reducing search space so that solut...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model con...
MiniZinc is a solver agnostic modeling language for defining and solver combinatorial satisfaction a...
Strings are extensively used in modern programming languages and constraints over strings of unknown...
Strings are extensively used in modern programming languages and constraints over strings of unknown...
the date of receipt and acceptance should be inserted later Abstract MiniZinc is a modelling languag...
Abstract. Linear integer constraints are one of the most important constraints in combinatorial prob...
Model reformulation plays an important role in improving models and reducing search space so that so...
Combinatorial optimization problems require selecting the best solution from a discrete (albeit ofte...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
Abstract. MiniZinc arose as a response to the extended discussion at CP2006 of the need for a standa...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
In this paper we present two type extensions for the modelling language MiniZinc that allow the repr...
Model reformulation plays an important role in improving models, reducing search space so that solut...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model con...
MiniZinc is a solver agnostic modeling language for defining and solver combinatorial satisfaction a...
Strings are extensively used in modern programming languages and constraints over strings of unknown...
Strings are extensively used in modern programming languages and constraints over strings of unknown...
the date of receipt and acceptance should be inserted later Abstract MiniZinc is a modelling languag...
Abstract. Linear integer constraints are one of the most important constraints in combinatorial prob...
Model reformulation plays an important role in improving models and reducing search space so that so...
Combinatorial optimization problems require selecting the best solution from a discrete (albeit ofte...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
Abstract. MiniZinc arose as a response to the extended discussion at CP2006 of the need for a standa...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
In this paper we present two type extensions for the modelling language MiniZinc that allow the repr...
Model reformulation plays an important role in improving models, reducing search space so that solut...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...