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Ant Algorithm for the Graph Matching Problem

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3448))

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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Sammoud, O., Solnon, C., Ghédira, K. (2005). Ant Algorithm for the Graph Matching Problem. In: Raidl, G.R., Gottlieb, J. (eds) Evolutionary Computation in Combinatorial Optimization. EvoCOP 2005. Lecture Notes in Computer Science, vol 3448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31996-2_20

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  • DOI: https://doi.org/10.1007/978-3-540-31996-2_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25337-2

  • Online ISBN: 978-3-540-31996-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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