ISSN:
1432-0770
Source:
Springer Online Journal Archives 1860-2000
Topics:
Biology
,
Computer Science
,
Physics
Notes:
Abstract The neural network model of Hopfield and Tank applied to the Travelling Salesman Problem, has been analyzed in order to improve its convergence properties. A simple change of the parameter sets always allows to reach states corresponding to valid tours. Besides a more interesting modification has been presented by adding a new term to force expression. This modified model has a high value of convergence and it is able to find short tours. So, more confidence can be given to these type of models, and real applications could be performed.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF00199592
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