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朴東哲,琴敎瞵 명지대학교 산업기술연구소 2005 産業技術硏究所論文集 Vol.24 No.-
A routing algorithm using the Hopfield Neural Netork (HNN) is proposed in this paper. The proposed algorithm modifies the energy function for achieving the optimality of the solution and higher convergence rate. Experiments are performed on 3,000 large scale communication networks with randomly selected link costs. The results show that the proposed algorithm outperforms convensional methods both in optimality and convergence. Improvements on optimality and convergence for large scale problems over the most recent method are over 65% and over 50% respectively.