the date of receipt and acceptance should be inserted later Abstract MiniZinc is a modelling language for combinatorial problems, which can then be solved by a solver provided in a backend. There are many backends, based on technologies such as constraint programming, integer programming, or Boolean satisfiability solving. However, to the best of our knowledge, there is currently no constraint-based local search (CBLS) backend. We discuss the challenges to develop such a backend and give an overview of the design of a CBLS backend for MiniZinc. Experimental results show that for some MiniZinc models, our CBLS backend, based on the OscaR/CBLS solver, is able to give good-quality results in short time
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages suc...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction pr...
MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model con...
Model reformulation plays an important role in improving models and reducing search space so that so...
MiniZinc is a solver agnostic modeling language for defining and solver combinatorial satisfaction a...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
Combinatorial optimization problems are usually tackled in two steps: modelling and solving. Three m...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages suc...
MiniZinc is a modelling language used to model combinatorial optimisation and satisfaction problems,...
MiniZinc is a language which enables the modelling of combinatorial optimisation and satisfaction pr...
MiniZinc is a free and open-source constraint modeling language. You can use MiniZinc to model con...
Model reformulation plays an important role in improving models and reducing search space so that so...
MiniZinc is a solver agnostic modeling language for defining and solver combinatorial satisfaction a...
MiniZinc [5, 7] is a high-level declarative modeling language that has become quite popular in the l...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
While the efficiency and scalability of modern SAT technology offers an intriguing alternative appro...
Constraint models often describe complicated problems that contain sub-problems that could be solved...
Combinatorial optimization problems are usually tackled in two steps: modelling and solving. Three m...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Combinatorial problems are ubiquitous in our society and solving such problems efficiently is often ...
Combinatorial (optimization) problems occur in nature and society. Constraint modeling languages suc...