Ant algorithm for the graph matching problem

  • Authors:
  • Olfa Sammoud;Christine Solnon;Khaled Ghédira

  • Affiliations:
  • SOIE, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunis;LIRIS, CNRS UMR 5205, bât. Nautibus, University of Lyon I, Villeurbanne, France;SOIE, Institut Supérieur de Gestion de Tunis, Le Bardo, Tunis

  • Venue:
  • EvoCOP'05 Proceedings of the 5th European conference on Evolutionary Computation in Combinatorial Optimization
  • Year:
  • 2005

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Abstract

This paper describes a new Ant Colony Optimization (ACO) algorithm for solving Graph Matching Problems, the goal of which is to find the best matching between vertices of multi-labeled graphs. This new ACO algorithm is experimentally compared with greedy and reactive tabu approaches on subgraph isomorphism problems and on multivalent graph matching problems.