Montenegrin Journal of Economics


The Comparative Analysis Of Two Neural Networks

Sanja Bauk and Nataša Kovač

2006, vol. 2, no. 3, p. 89-98


The paper deals with a comparison between two different methods in generating sub-optimal solutions to the Hopfield-Tank TSP (traveling salesman problem) neural algorithm. Namely, the Hopfield-Tank TSP neural algorithm has been applied in the paper to the linear ship's route, that is cycle voyage modeling, which means here finding the optimal visiting order of a given set of ports in such way as to minimize the total sailing distance and implicitly total linear ship's traveling costs. The methods being implemented here into Hopfield-Tank TSP neural structure and computationally compared are: the brute force method and the fast insertion heuristic.


suggested citation:

Sanja Bauk and Nataša Kovač. "The Comparative Analysis Of Two Neural Networks." Montenegrin Journal of Economics. vol. 2, no. 3, 2006, p. 89-98

BibTeX entry    download