In this article we illustrate that Constraint Logic Programming (CLP) systems allow easy expression and solutions of constrained decision problems. CLP solutions for two industrial linear optimization problems are discussed: - a mixed linear multiple criteria selection problem implemented in the linear rational Prolog III solver, and - a linear integer multiple criteria location problem, particularly adapted to the CHIP solver
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction Whil...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
There has been a lot of interest lately from people solving constrained optimization problems for co...
this paper, the CLP framework suuports a close cooperation between the algorithms in a way that is n...
Constraint logic programming (CLP) has become a promising new technology for solving complex combina...
Constraint logic programming has become a promising new technology for solving complex combinatorial...
Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativi...
The paper discusses a new trend in the modelling software for combinatorial and mixed combinatorial-...
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it a...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
The paper presents results of modelling and solving a large industrial combinatorial problem with Co...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
The struggle to model and solve Combinatorial Optimization Problems (COPs) has challenged the develo...
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction Whil...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...
peer reviewedIn this article we illustrate that Constraint Logic Programming (CLP) systems allow eas...
There has been a lot of interest lately from people solving constrained optimization problems for co...
this paper, the CLP framework suuports a close cooperation between the algorithms in a way that is n...
Constraint logic programming (CLP) has become a promising new technology for solving complex combina...
Constraint logic programming has become a promising new technology for solving complex combinatorial...
Constraint Logic Programming (CLP) is a new class of programming languages combining the declarativi...
The paper discusses a new trend in the modelling software for combinatorial and mixed combinatorial-...
Constraint Logic Programming (CLP) is one of the most successful branches of Logic Programming; it a...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
The paper presents results of modelling and solving a large industrial combinatorial problem with Co...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
The struggle to model and solve Combinatorial Optimization Problems (COPs) has challenged the develo...
A pioneering look at the fundamental role of logic in optimization and constraint satisfaction Whil...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
AbstractConstraint Logic Programming (CLP) is a merger of two declarative paradigms: constraint solv...