The semiring framework for constraint satisfaction allows us to model a wide variety of problems of choice. Semiring constraint satisfaction problems are able to represent both classical consistency and optimisation problems, as well as soft constraint problems such as valued and weight CSPs. In this paper we pose and answer the question: how can we represent and ‘solve’ the relaxation of a semiring constraint satisfaction problem
We extend the Constraint Logic Programming (CLP) formalism in order to handle semiring-based constra...
Soft constraints are a generalization of classical constraints, which allow for the description of p...
We extend algorithms for arc consistency proposed in the literature in order to deal with (absorptiv...
The Semiring Constraint Satisfaction Problem (SCSP) framework is a popular approach for the represen...
We introduce a general framework for constraint satisfaction and optimization where classi-cal CSPs,...
Many “semiring-like” structures are used in Soft Constraint Satisfaction Problems (SCSPs). We review...
AbstractThe semiring-based constraint satisfaction problems (semiring CSPs), proposed by Bistarelli,...
The semiring-based constraint satisfaction problems (semiring CSPs), proposed by Bistarelli, Montana...
Soft constraint formalisms are an abstract representation of Constraint Satisfaction Problems (CSPs)...
. In this paper we describe two frameworks for constraint solving where classical CSPs, fuzzy CSPs, ...
In this paper we describe and compare two frameworks for constraint solving where classical CSPs, fu...
Abstract. Although Constraint Programming (CP) is considered a use-ful tool for tackling combinatori...
We present a variant of the Weighted Maximum Satisfia-bility Problem (Weighted MaxSAT), which is a m...
Soft constraints based on semirings are a generalization of classical constraints, where tuples of v...
Abstract. The Semiring CSP (SCSP) framework is a popular and robust ap-proach to solving partial con...
We extend the Constraint Logic Programming (CLP) formalism in order to handle semiring-based constra...
Soft constraints are a generalization of classical constraints, which allow for the description of p...
We extend algorithms for arc consistency proposed in the literature in order to deal with (absorptiv...
The Semiring Constraint Satisfaction Problem (SCSP) framework is a popular approach for the represen...
We introduce a general framework for constraint satisfaction and optimization where classi-cal CSPs,...
Many “semiring-like” structures are used in Soft Constraint Satisfaction Problems (SCSPs). We review...
AbstractThe semiring-based constraint satisfaction problems (semiring CSPs), proposed by Bistarelli,...
The semiring-based constraint satisfaction problems (semiring CSPs), proposed by Bistarelli, Montana...
Soft constraint formalisms are an abstract representation of Constraint Satisfaction Problems (CSPs)...
. In this paper we describe two frameworks for constraint solving where classical CSPs, fuzzy CSPs, ...
In this paper we describe and compare two frameworks for constraint solving where classical CSPs, fu...
Abstract. Although Constraint Programming (CP) is considered a use-ful tool for tackling combinatori...
We present a variant of the Weighted Maximum Satisfia-bility Problem (Weighted MaxSAT), which is a m...
Soft constraints based on semirings are a generalization of classical constraints, where tuples of v...
Abstract. The Semiring CSP (SCSP) framework is a popular and robust ap-proach to solving partial con...
We extend the Constraint Logic Programming (CLP) formalism in order to handle semiring-based constra...
Soft constraints are a generalization of classical constraints, which allow for the description of p...
We extend algorithms for arc consistency proposed in the literature in order to deal with (absorptiv...