AbstractConstraint propagation is an elementary method for reducing the search space of combinatorial search and optimization problems which has become more and more important in the last decades. The basic idea of constraint propagation is to detect and remove inconsistent variable assignments that cannot participate in any feasible solution through the repeated analysis and evaluation of the variables, domains and constraints describing a specific problem instance.The contribution of this paper is twofold. The first contribution is a description of efficient constraint propagation methods also known as consistency tests for the disjunctive scheduling problem (DSP) which is a generalization of the classical job shop scheduling problem (JSP...
AbstractPractical constraint satisfaction problems (CSPs) such as design of integrated circuits or s...
A constraint satisfaction problem (CSP) consists of a set of variables; for each variable, a nite se...
International audienceIn this paper we propose new insights based on an insertion heuristic and gene...
AbstractConstraint propagation is an elementary method for reducing the search space of combinatoria...
pp.155-158Since the last decade, hard combinatorial problems such as scheduling have been the target...
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...
International audienceWe introduce a simple technique for disjunctive machine scheduling problems an...
International audienceThis paper is concerned with the development of constraint propagation techniq...
Abstract. Recently, a variety of constraint programming and Boolean satisfiability ap-proaches to sc...
In this paper we present a method for modeling and managing various constraints encountered in task ...
AbstractConstraint-based schedulers have been widely successful in tackling complex, disjunctive, an...
. Edge-finding bounding techniques are particular constraint propagation techniques which reason abo...
A large number of problems can be formulated as special cases of the Constraint Satisfaction Problem...
International audienceThis paper describes a new approach for solving disjunctive temporal problems ...
AbstractPractical constraint satisfaction problems (CSPs) such as design of integrated circuits or s...
A constraint satisfaction problem (CSP) consists of a set of variables; for each variable, a nite se...
International audienceIn this paper we propose new insights based on an insertion heuristic and gene...
AbstractConstraint propagation is an elementary method for reducing the search space of combinatoria...
pp.155-158Since the last decade, hard combinatorial problems such as scheduling have been the target...
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...
International audienceWe introduce a simple technique for disjunctive machine scheduling problems an...
International audienceThis paper is concerned with the development of constraint propagation techniq...
Abstract. Recently, a variety of constraint programming and Boolean satisfiability ap-proaches to sc...
In this paper we present a method for modeling and managing various constraints encountered in task ...
AbstractConstraint-based schedulers have been widely successful in tackling complex, disjunctive, an...
. Edge-finding bounding techniques are particular constraint propagation techniques which reason abo...
A large number of problems can be formulated as special cases of the Constraint Satisfaction Problem...
International audienceThis paper describes a new approach for solving disjunctive temporal problems ...
AbstractPractical constraint satisfaction problems (CSPs) such as design of integrated circuits or s...
A constraint satisfaction problem (CSP) consists of a set of variables; for each variable, a nite se...
International audienceIn this paper we propose new insights based on an insertion heuristic and gene...