In this paper a methodology to solve scheduling applications (e.g. job-shop) using constraint logic programming (CLP) is presented. Firstly, the CLP problem definition is briefly described. Secondly, a new strategy for finding optimal solution is presented. New strategy consists of three steps. (1) A heuristic capable to find an initial solution of good quality very quickly (upper bound). (2) A heuristic to find a good lower for optimisation. (3) An effective strategy for finding the optimal solution within a minimal number of steps. The results achieved using this methodology on a set of randomly generated job-shop problems are presented
. In the recent years, constraint programming has been applied to a wide variety of academic and ind...
Abstract. A hybrid technique using constraint programming and linear programming is applied to the p...
Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativi...
In this paper a methodology to solve scheduling applications (e.g. job-shop) using constraint logic ...
Constraint logic programming with linear constraints over finite integer domains, CLP(FD), has been ...
A scheduling problem can be described as a set of constraints within which an optimal schedule solu...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
We introduce constraint-based scheduling and discuss its main principles. An approximation algorithm...
The technology of Constraint Programming is rapidly becoming a popular alternative for solving large...
Our goal is to introduce the constraint programming (CP) approach within the context of scheduling. ...
A fast and efficient constraint propagation algorithm is presented for the job shop scheduling probl...
A Constraint Logic Programming (CLP) tool for solving the problem discussed in Part 1 of the paper h...
This chapter describes constraint-based scheduling as the discipline that studies how to solve sched...
. In the recent years, constraint programming has been applied to a wide variety of academic and ind...
Abstract. A hybrid technique using constraint programming and linear programming is applied to the p...
Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativi...
In this paper a methodology to solve scheduling applications (e.g. job-shop) using constraint logic ...
Constraint logic programming with linear constraints over finite integer domains, CLP(FD), has been ...
A scheduling problem can be described as a set of constraints within which an optimal schedule solu...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Constraint Programming is a problem-solving paradigm that establishes a clear distinction between tw...
Generalised Assignment Problems (GAP), traditionally solved by Integer Programming techniques, are a...
We introduce constraint-based scheduling and discuss its main principles. An approximation algorithm...
The technology of Constraint Programming is rapidly becoming a popular alternative for solving large...
Our goal is to introduce the constraint programming (CP) approach within the context of scheduling. ...
A fast and efficient constraint propagation algorithm is presented for the job shop scheduling probl...
A Constraint Logic Programming (CLP) tool for solving the problem discussed in Part 1 of the paper h...
This chapter describes constraint-based scheduling as the discipline that studies how to solve sched...
. In the recent years, constraint programming has been applied to a wide variety of academic and ind...
Abstract. A hybrid technique using constraint programming and linear programming is applied to the p...
Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativi...