| Autor: |
Armitage AF; Napier University, UK, Gupta NK, Peng M |
| Jazyk: |
angličtina |
| Zdroj: |
Neural networks : the official journal of the International Neural Network Society [Neural Netw] 1996 Oct; Vol. 9 (7), pp. 1241-1253. |
| DOI: |
10.1016/0893-6080(96)00017-2 |
| Abstrakt: |
The paper investigates the improvement of local minima of the Hopfield network. A local minima escape algorithm (LME algorithm), is proposed for improving local minima of small-scale networks. Experiments on travelling salesman problems (TSP) show that the LME algorithm is an efficient algorithm in improving the local minima, and the comparison with the simulated annealing algorithm (SA) shows that the LME algorithm can produce better results in less time. The paper then investigates the improvement of local minima of large-scale networks. By combining the LME algorithm with a network partitioning technique, a network partitioning algorithm (NPA) is proposed. Experiments on 51 and 101-city TSP problems show that the local minima of large-scale networks can be greatly improved by the NPA algorithm, however, the global minima are still difficult to achieve. Copyright 1996 Elsevier Science Ltd |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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