Finding the conductors in circular networks from boundary measurements
Finding the k Most Vital Elements of an s-t Planar Directed Network
Flot à coût convexe linéaire par morceaux
Flots entiers et multiflots fractionnaires couplés par une contrainte de capacité
Nous modélisons ici plusieurs problèmes de Transport et de Gestion de Flux à l’aide d’un flot entier et d’un multiflot fractionnaire couplés par une contrainte de capacité. Pour le problème ainsi obtenu, nous proposons différents schémas de résolution par relaxation et décomposition, qui induisent la recherche d’un flot auxiliaire dont la partie entière supérieure doit minimiser un certain coût, et qui requièrent la mise en œuvre d’un processus d’agrégation. Nous en déduisons diverses heuristiques...
Flots entiers et multiflots fractionnaires couplés par une contrainte de capacité
Nous modélisons ici plusieurs problèmes de Transport et de Gestion de Flux à l'aide d'un flot entier et d'un multiflot fractionnaire couplés par une contrainte de capacité. Pour le problème ainsi obtenu, nous proposons différents schémas de résolution par relaxation et décomposition, qui induisent la recherche d'un flot auxiliaire dont la partie entière supérieure doit minimiser un certain coût, et qui requièrent la mise en œuvre d'un processus d'agrégation. Nous en déduisons diverses heuristiques...
Flow Polyhedra and Resource Constrained Project Scheduling Problems
This paper aims at describing the way Flow machinery may be used in order to deal with Resource Constrained Project Scheduling Problems (RCPSP). In order to do it, it first introduces the Timed Flow Polyhedron related to a RCPSP instance. Next it states several structural results related to connectivity and to cut management. It keeps on with a description of the way this framework gives rise to a generic Insertion operator, which enables programmers to design greedy and local search algorithms....
Flows in infinite networks
Flows in Networks and Hausdorff Measures Associated. Applications to Fractal Sets in Euclidian Space
Forecast horizon and planning horizon paths in time-indexed network
The problem of existence of a forecast (or planning) horizon has been considered in many special models, more or less precisely. We specify and investigate this problem for families of cheapest paths in networks with weakly ordered nodes. In a discrete network, the standard forward algorithm finds the subnetwork generated by optimal paths. The proposed forward procedure reduces subnetworks such that the forecast horizon remains unchanged. Based on the final subnetwork, we have an answer to the forecast...
Fractional virus epidemic model on financial networks
In this study, we present an epidemic model that characterizes the behavior of a financial network of globally operating stock markets. Since the long time series have a global memory effect, we represent our model by using the fractional calculus. This model operates on a network, where vertices are the stock markets and edges are constructed by the correlation distances. Thereafter, we find an analytical solution to commensurate system and use the well-known differential transform method to obtain...
Genetic algorithm for network cost minimization using threshold based discounting.
G-Réseaux dans un environnement aléatoire
G-Réseaux dans un environnement aléatoire
We study networks with positive and negative customers (or Generalized networks of queues and signals) in a random environment. This environment may change the arrival rates, the routing probabilities, the service rates and also the effect of signals. We prove that the steady-state distribution has a product form. This property is obtained as a corollary of a much more general result on multidimensional Markov chains.
Input and output passivity of complex dynamical networks with general topology.
L'affectation exponentielle et le problème du plus court chemin dans un graphe
Lower bounds to the graph partitioning problem through generalized linear programming and network flows
Market clearing price and equilibria of the progressive second price mechanism
The Progressive Second Price mechanism (PSP), recently introduced by Lazar and Semret to share an infinitely-divisible resource among users through pricing, has been shown to verify very interesting properties. Indeed, the incentive compatibility property of that scheme, and the convergence to an efficient resource allocation where established, using the framework of Game Theory. Therefore, that auction-based allocation and pricing scheme seems particularly well-suited to solve congestion problems...
Maximal flow problem in a network with a variable structure
Maximizing residual capacity in connection-oriented networks.
Méthode de conservation et blocage dans les files d'attente