Abstract: Constraint Programming is recognized as an efficient technique for solving hard combinatorial optimization problems. However, it is best used in conjunction with other optimization paradigms such as local search, yielding hybrid algorithms with constraints. Such combinations lack a language supporting an elegant description and retaining the original declarativity of Constraint Logic Programming. We propose a language, SALSA, dedicated to specifying (local, global or hybrid) search algorithms. We illustrate its use on a few examples from combinatorial optimization for which we specify complex optimization procedures with a few simple lines of code of high abstraction level. We report preliminary experiments showing that such a lan...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
We present a library called ToOLS for the design of complex tree search algorithms in constraint pro...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
Real-world combinatorial optimization problems have two main characteristics which make them difficu...
This work presents hybrid Constraint Programming (CP) and metaheuristic methods for the solution of ...
We augment the expressive power of imperative programming in order to make it a more attractive vehi...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
In this paper we present a hybrid search algorithm for solving constraint satisfaction and optimizat...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
We present a library called ToOLS for the design of complex tree search algorithms in constraint pro...
This chapter addresses the integration of constraints and search into programming lan-guages from th...
Local Search is a simple and effective approach for solving complex constrained combinatorial proble...
Real-world combinatorial optimization problems have two main characteristics which make them difficu...
This work presents hybrid Constraint Programming (CP) and metaheuristic methods for the solution of ...
We augment the expressive power of imperative programming in order to make it a more attractive vehi...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
In a recent paper, Focacci, Laburthe and Lodi (2002) surveyed the integration between Local Search a...
the date of receipt and acceptance should be inserted later Abstract The ability to model search in ...
In this paper we present a hybrid search algorithm for solving constraint satisfaction and optimizat...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
Constraint programming is a powerful paradigm for solving combinatorial search problems that draws o...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...
The ability to model search in a constraint solver can be an essential asset for solving combinatori...