Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years spent in creating and enhancing the relationship between constraint programming and operations research. Three main hybridization contexts have been explored: hybrid modeling, hybrid solving (algorithmic methods) and hybrid software tools. In this chapter we concentrate on the algorithmic side of the hybridization
Abstract The combination of components from different algorithms is currently one of the most succes...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
The combination of components from different algorithms is currently one of the most successful tren...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
The modeling practices of constraint programming (CP), artificial intelligence, and operations resea...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
angers.fr Hybridization of local search and constraint programming techniques for solving Constraint...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
In this paper, we introduce the notion of hybrid procedures for solving a system of linear equations...
Over the last decades, so-called hybrid optimization approaches have become increasingly popular for...
the date of receipt and acceptance should be inserted later Abstract Technology for combinatorial op...
Many critical real world problems, including problems in areas such as logistics, routing and schedu...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
The hybridization with other techniques for optimization has been one of the most interesting recent...
Abstract The combination of components from different algorithms is currently one of the most succes...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
The combination of components from different algorithms is currently one of the most successful tren...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
The modeling practices of constraint programming (CP), artificial intelligence, and operations resea...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
angers.fr Hybridization of local search and constraint programming techniques for solving Constraint...
[EN]This book explains the most prominent and some promising new, general techniques that combine me...
In this paper, we introduce the notion of hybrid procedures for solving a system of linear equations...
Over the last decades, so-called hybrid optimization approaches have become increasingly popular for...
the date of receipt and acceptance should be inserted later Abstract Technology for combinatorial op...
Many critical real world problems, including problems in areas such as logistics, routing and schedu...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
The hybridization with other techniques for optimization has been one of the most interesting recent...
Abstract The combination of components from different algorithms is currently one of the most succes...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
The combination of components from different algorithms is currently one of the most successful tren...
DOI
Add to ORKG