MiniZinc is a solver agnostic modeling language for defining and solver combinatorial satisfaction and optimization problems. MiniZinc provides a solver independent modeling language which is now supported by constraint programming solvers, mixed integer programming solvers, SAT and SAT modulo theory solvers, and hybrid solvers. Since 2008 we have run the MiniZinc challenge every year, which compares and contrasts the different strengths of different solvers and solving technologies on a set of MiniZinc models. Here we report on what we have learnt from running the competition for 6 years
MiningZinc offers a framework for modeling and solving constraint-based mining problems. The languag...
MiniZinc is a modelling language for constraint satisfaction and optimisation problems. It can be us...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
MiniZinc is a free and open-source constraint modelling language. You can use MiniZinc to model cons...
Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages suc...
the date of receipt and acceptance should be inserted later Abstract MiniZinc is a modelling languag...
Abstract. MiniZinc arose as a response to the extended discussion at CP2006 of the need for a standa...
Model reformulation plays an important role in improving models and reducing search space so that so...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction pr...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
Combinatorial optimization problems are usually tackled in two steps: modelling and solving. Three m...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
MiningZinc offers a framework for modeling and solving constraint-based mining problems. The languag...
MiniZinc is a modelling language for constraint satisfaction and optimisation problems. It can be us...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
MiniZinc is a free and open-source constraint modelling language. You can use MiniZinc to model cons...
Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages suc...
the date of receipt and acceptance should be inserted later Abstract MiniZinc is a modelling languag...
Abstract. MiniZinc arose as a response to the extended discussion at CP2006 of the need for a standa...
Model reformulation plays an important role in improving models and reducing search space so that so...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction pr...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
Combinatorial optimization problems are usually tackled in two steps: modelling and solving. Three m...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
MiningZinc offers a framework for modeling and solving constraint-based mining problems. The languag...
MiniZinc is a modelling language for constraint satisfaction and optimisation problems. It can be us...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...