A mean-field theory for optimization problems of the Travelling Salesman type, or of the Matching type, is presented. It involves an infinite set of order parameters which measure the lack of self-averageness of the system and its degree of freezing. We further conjecture that NP-completeness is associated with replica symmetry breaking.On présente une théorie de champ moyen pour les problèmes d'optimisation du type « Voyageur de Commerce » ou problèmes d'« Appariement ». Cette théorie de champ moyen s'exprime à l'aide d'un ensemble infini de paramètres d'ordre, qui mesurent l'absence d'auto-moyennage du système et donc son degré de gel. On conjecture que la NP-complexité est associée à la brisure de symétrie des répliques
Several optimization problems can be stated as disordered systems problems. This fact encouraged a f...
We study combinatorial optimization problems on graphs in the mean-field model, which assigns indepe...
In recent years there has been significant interest in adapting tech-niques from statistical physics...
A mean-field theory for optimization problems of the Travelling Salesman type, or of the Matching ty...
Résumé. 2014 On présente une théorie de champ moyen pour les problèmes d’optimisation du type « Voya...
This manuscript present my research activities in the field of statistical mechanics of disordered s...
A brief review is given for the use of feed-back artificial neural networks (ANN) to obtain good app...
We consider the statistical mechanics of the traveling salesman problem (TSP) and develop some repre...
We show that two very different temperature regimes exist for problems of the travelling salesman ty...
The travelling salesman problem (TSP) and the Ising model of a spin glass are archetypes, respective...
11 pages, 1 figureCombinatorial optimization is a fertile testing ground for statistical physics met...
The edges of a complete graph on n vertices are assigned i.i.d. random costs from a distribution for...
We establish the soundness of the replica symmetric ansatz introduced by M. Mezard and G. Parisi for...
Combinatorial optimization is a fertile testing ground for statistical physics methods developed in...
The scope of these lecture notes is to provide an introduction to modern statistical physics mean-fi...
Several optimization problems can be stated as disordered systems problems. This fact encouraged a f...
We study combinatorial optimization problems on graphs in the mean-field model, which assigns indepe...
In recent years there has been significant interest in adapting tech-niques from statistical physics...
A mean-field theory for optimization problems of the Travelling Salesman type, or of the Matching ty...
Résumé. 2014 On présente une théorie de champ moyen pour les problèmes d’optimisation du type « Voya...
This manuscript present my research activities in the field of statistical mechanics of disordered s...
A brief review is given for the use of feed-back artificial neural networks (ANN) to obtain good app...
We consider the statistical mechanics of the traveling salesman problem (TSP) and develop some repre...
We show that two very different temperature regimes exist for problems of the travelling salesman ty...
The travelling salesman problem (TSP) and the Ising model of a spin glass are archetypes, respective...
11 pages, 1 figureCombinatorial optimization is a fertile testing ground for statistical physics met...
The edges of a complete graph on n vertices are assigned i.i.d. random costs from a distribution for...
We establish the soundness of the replica symmetric ansatz introduced by M. Mezard and G. Parisi for...
Combinatorial optimization is a fertile testing ground for statistical physics methods developed in...
The scope of these lecture notes is to provide an introduction to modern statistical physics mean-fi...
Several optimization problems can be stated as disordered systems problems. This fact encouraged a f...
We study combinatorial optimization problems on graphs in the mean-field model, which assigns indepe...
In recent years there has been significant interest in adapting tech-niques from statistical physics...