The solution of routing problem based on neural network and immunological algorithms

  • Authors:

  • L. G. Komartsova;Y. N. Lavrenkov

  • Affiliations:

  • The Kaluga Branch of the Bauman Moscow State Technical University, Kaluga, Russia 248000;The Kaluga Branch of the Bauman Moscow State Technical University, Kaluga, Russia 248000

  • Venue:
  • Optical Memory and Neural Networks
  • Year:
  • 2011

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Abstract

The paper offers a combined approach to training a multiple-layer perceptron with the immune optimization algorithm and simulated annealing method. The approach allows us to dynamically vary the convergence rate of the training process at different stages of best-solution search and decrease the run-time. The possibility to use a trained multiple-layer perceptron for tackling routing problems is considered.