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Improved simulated annealing, Boltzmann machine, and attributed graph matching

  • Lei Xu
  • Erkki Oja
Part II Theory, Algorithms
Part of the Lecture Notes in Computer Science book series (LNCS, volume 412)

Abstract

By separating the search control and the solution updating of the commonly used simulated annealing technique, we propose a revised version of the simulated annealing method which produces better solutions and can reduce the computation time. We also use it to improve the performance of the Boltzmann machine. Furthermore, we present a simple combinatorial optimization model for solving the attributed graph matching problem of e.g. computer vision and give two algorithms to solve the model, one using our improved simulated annealing method directly, the other using it via the Boltzmann machine. Computer simulations have been conducted on the model using both the revised and the original simulated annealing and the Boltzmann machine. The advantages of our revised methods are shown by the results.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Lei Xu
    • 1
  • Erkki Oja
    • 1
  1. 1.Department of Information TechnologyLappeenranta University of TechnologyLappeenrantaFinland

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