Approches de résolution exacte et approchée en optimisation combinatoire multi-objectif, application au problème de l'arbre couvrant de poids minimal

In this paper, we introduce an Augmented Lagrangian based method in a search relevance ranking algorithm to incorporate the multi- dimensional nature of relevance and

Then a scalability study of MO- MCTS is made on the NP-hard problem of grid scheduling, showing that the performance of MO-MCTS matches the non RL-based state of the art albeit with

L’objectif de notre tra- vail est de trouver une route multicast qui relie la source et l’ensemble des destinations, tout en respectant les contraintes de QoS avec un coût

Computational results based on randomly generated graphs show that the number of k -branch vertices included in the spanning tree increases with the size of the vertex set V,

0 Problem is the instance treated. 0 UB is the upper bound obtained for the Make- span in single-objective studies. 0 M I and TI are the best Makespan and Tardi-

Keywords: Classification systems, feature extraction, ensemble of classifiers, multi-objective genetic

On the much more challenging instances of Taillard instances with N = 100 jobs (Figure 3, Table 4), the feasible MOLS configu- rations are separated into a single cluster and few

89 Selon une étude du Conseil de l’Europe, « un nombre significatif de pays » ne disposent d’aucun sys- tème législatif encadrant les conditions et procédure à