Recently, many successful hybrid approaches which use both constraint programming (CP) and operations research (OR) techniques to solve a problem have been proposed. They usually use OR techniques, like cutting planes, which are specific to the problem. In this paper we investigate the use of generic cutting planes (more specifically, Gomory cuts) in a typical CP-OR hybrid approach. This allows us to have a general algorithm to be applied to all problem classes. We will show that our approach is indeed promising: on the class of partial latin square completion problems, the performance of our algorithm is comparable to that of a pure CP algorithmand better in several cases. In particular we will show that the hybrid approach solves many pro...
Real-world combinatorial optimization problems have two main characteristics which make them difficu...
The goal of this paper is to develop models and methods that use complementary strengths of Mixed In...
In this paper, we show how recently developed techniques from combinatorial optimization can be embe...
Recently, many successful hybrid approaches which use both constraint programming (CP) and operation...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
This work presents hybrid Constraint Programming (CP) and metaheuristic methods for the solution of ...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
We present a library called ToOLS for the design of complex tree search algorithms in constraint pro...
Abstract. We study a balanced academic curriculum problem and an industrial steel mill slab design p...
In this we paper we study techniques for generating valid convex constraints for mixed 0-1 conic pro...
Abstract—In this paper we present a hybrid search algorithm for solving constraint satisfaction and ...
Real-world combinatorial optimization problems have two main characteristics which make them difficu...
The goal of this paper is to develop models and methods that use complementary strengths of Mixed In...
In this paper, we show how recently developed techniques from combinatorial optimization can be embe...
Recently, many successful hybrid approaches which use both constraint programming (CP) and operation...
Abstract This paper presents Constraint Programming as a natural formalism for modelling problems, a...
This paper presents constraint programming (CP) as a natural formalism for modelling problems, and a...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
Although operations research (OR) and constraint programming (CP) have different roots, the links be...
We study a balanced academic curriculum problem and an industrial steel mill slab design problem. Th...
This work presents hybrid Constraint Programming (CP) and metaheuristic methods for the solution of ...
Hybrid methods have always been one of the most intriguing directions in these ten to fifteen years ...
We present a library called ToOLS for the design of complex tree search algorithms in constraint pro...
Abstract. We study a balanced academic curriculum problem and an industrial steel mill slab design p...
In this we paper we study techniques for generating valid convex constraints for mixed 0-1 conic pro...
Abstract—In this paper we present a hybrid search algorithm for solving constraint satisfaction and ...
Real-world combinatorial optimization problems have two main characteristics which make them difficu...
The goal of this paper is to develop models and methods that use complementary strengths of Mixed In...
In this paper, we show how recently developed techniques from combinatorial optimization can be embe...