Skip to Main content Skip to Navigation
Preprints, Working Papers, ...

Appariement de graphes & optimisation dynamique par colonies de fourmis

Olfa Sammoud 1
1 M2DisCo - Geometry Processing and Constrained Optimization
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : The thesis addresses the problematic of comparing objects and similarity measuring. If objects are described by graphs, so that measuring objects similarity turns into determining graph similarity, i.e., matching graph vertices to identify their common features and their differences. Different classes of graph matching have been proposed going on the most restrictive ones to the most general. In restrictive graph matching (graph or sub-graph isomorphism), the objective is to show graph equivalence or inclusion, a vertex in a graph may be matched with one vertex at most on the other graph. In general graph matching (multivalent matching), the goal is not yet to find an “exact” matching (a matching which preserves all vertices and edges), but to look for a “best” matching (a matching which preserves a maximum number of vertices and edges), a vertex in one graph may be matched with a set of vertices in the other graph. In our work, we consider the problem of searching the best multivalent matching which is a NP-hard optimization problem. More precisely, we propose to investigate the ability if the ant colony optimization meta-heuristic (ACO). Two cases are considered in our study: the static case where the problem remains invariant through time and the dynamic case where graphs to compare constrained to satisfy and the criterions defining matching quality may change over the time, so that solutions must be dynamically adapted to the changes. A first goal of this thesis is to propose a generic ACO algorithm for solving graph matching problems. Different key points, like the pheromonal strategy to be used, the heuristic factor and the use of a local search procedure, are studied. A second goal of this work is to propose a generic ACO algorithm for solving dynamic optimization problems. The proposed algorithm will be applied and experimentally studied on three different dynamic problems: graph matching problem, multi-dimensional knapsack problem and the travelling salesman problem
Document type :
Preprints, Working Papers, ...
Complete list of metadatas

https://hal.archives-ouvertes.fr/hal-01464744
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Friday, February 10, 2017 - 2:32:58 PM
Last modification on : Wednesday, July 8, 2020 - 12:43:34 PM

Identifiers

  • HAL Id : hal-01464744, version 1

Citation

Olfa Sammoud. Appariement de graphes & optimisation dynamique par colonies de fourmis. 2010. ⟨hal-01464744⟩

Share

Metrics

Record views

443