A Recurrent Multivalued Neural Network for the N-Queens Problem

Authors:
Enrique Mérida Casermeiro;José Muñoz;Rafaela Benítez
Affiliations:
-;-;-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

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Abstract

This paper presents a multivalued Hopfield-type neural network as a method for solving combinatorial optimization problems with a formulation free of fine-tuning parameters.As benchmark of the performance of the network we have used N-Queen problems. Computer simulations confirm that this network obtains good results when is compared with other neural networks.It is shown also that different dynamics are easily formulated for the network leading to obtain more sophisticated algorithms with better performance.