The major problem in solving combinatorial optimization problems is the huge size of the search space. To explore the search space in a reasonable time, using smart search algorithms is inevitable. One of the main difficulties in implementing search methods is the lack of a uniform, high-level template for all search paradigms. In this paper, we propose a high-level, parametric template suitable for modeling languages which covers both tree search and local search
Many tasks in Natural Language Processing (NLP) can be formulated as the assignment of a label to an...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Abstract: Constraint Programming is recognized as an efficient technique for solving hard combinator...
The major problem in solving combinatorial optimization problems is the huge size of the search spac...
AbstractThe major problem in solving combinatorial optimization problems is the huge size of the sea...
A template is presented that captures the majority of local search algorithms proposed in the litera...
A template is presented that captures a vast majority of the local search algorithms proposed in the...
A template is presented that captures the majority of local search algorithms proposed in the litera...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
The Zinc modelling language provides a rich set of constraints, data structures and expressions to s...
The gap in automation between MIP/SAT solvers and those for constraint programming and constraint-ba...
Production planning under uncertain demands leads to optimisation problems that are hard both to mod...
Many tasks in Natural Language Processing (NLP) can be formulated as the assignment of a label to an...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Abstract: Constraint Programming is recognized as an efficient technique for solving hard combinator...
The major problem in solving combinatorial optimization problems is the huge size of the search spac...
AbstractThe major problem in solving combinatorial optimization problems is the huge size of the sea...
A template is presented that captures the majority of local search algorithms proposed in the litera...
A template is presented that captures a vast majority of the local search algorithms proposed in the...
A template is presented that captures the majority of local search algorithms proposed in the litera...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
The Zinc modelling language provides a rich set of constraints, data structures and expressions to s...
The gap in automation between MIP/SAT solvers and those for constraint programming and constraint-ba...
Production planning under uncertain demands leads to optimisation problems that are hard both to mod...
Many tasks in Natural Language Processing (NLP) can be formulated as the assignment of a label to an...
A difficult class of problems is the class of combinatorial optimization problems. This is because ...
Abstract: Constraint Programming is recognized as an efficient technique for solving hard combinator...