Motivated by the necessity to model the energy loss of energy storage devices, a Proportional Constraint is introduced in finite integer domain Constraint Programming. Therefore rounding is used within its definition. For practical applications in finite domain Constraint Programming, pruning rules are presented and their correctness is proven. Further, it is shown by examples that the number of iterations necessary to reach a fixed-point while pruning depends on the considered constraint instances. However, fixed-point iteration always results in the strongest notion of bounds consistency. Furthermore, an alternative modeling of the Proportional Constraint is presented. The run-times of the implementations of both alternatives are compared...
Finite domain constraints are one of the most important constraint domains in constraint logic progr...
This work falls in the scope of constraint-based scheduling. In this framework, the most frequently ...
Many combinatorial problems can be formulated via constraints, i.e., relations between variables’ va...
Abstract. This paper investigates the relations among dierent partial consistencies which have been ...
The paper presents propagation rules that are common to the minimum constraint family and to the num...
We introduce branch and infer, a unifying framework for integer linear programming and finite domain...
We present a unifying framework for integer linear programming and finite domain constraint programm...
We introduce branch-and-infer, a unifying framework for integer linear programming and finite domain...
International audienceNumerical constraint systems are often handled by branch and prune algorithms ...
The paper presents propagation rules that are common to the minimum constraint family and to the num...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
This paper discusses how better arc consistency algorithms for constraint satisfaction can be develo...
International audienceThis paper introduces the Increasing_Nvalue constraint, which restricts the nu...
International audienceWe describe the techniques used in finite domain contraint solvers in the Const...
Many optimisation problems contain substructures involving constraints on sequences of decision vari...
Finite domain constraints are one of the most important constraint domains in constraint logic progr...
This work falls in the scope of constraint-based scheduling. In this framework, the most frequently ...
Many combinatorial problems can be formulated via constraints, i.e., relations between variables’ va...
Abstract. This paper investigates the relations among dierent partial consistencies which have been ...
The paper presents propagation rules that are common to the minimum constraint family and to the num...
We introduce branch and infer, a unifying framework for integer linear programming and finite domain...
We present a unifying framework for integer linear programming and finite domain constraint programm...
We introduce branch-and-infer, a unifying framework for integer linear programming and finite domain...
International audienceNumerical constraint systems are often handled by branch and prune algorithms ...
The paper presents propagation rules that are common to the minimum constraint family and to the num...
When solving numerical constraints such as nonlinear equations and inequalities, solvers often explo...
This paper discusses how better arc consistency algorithms for constraint satisfaction can be develo...
International audienceThis paper introduces the Increasing_Nvalue constraint, which restricts the nu...
International audienceWe describe the techniques used in finite domain contraint solvers in the Const...
Many optimisation problems contain substructures involving constraints on sequences of decision vari...
Finite domain constraints are one of the most important constraint domains in constraint logic progr...
This work falls in the scope of constraint-based scheduling. In this framework, the most frequently ...
Many combinatorial problems can be formulated via constraints, i.e., relations between variables’ va...