T. Kawabe, T. Ueta, and Y. Nishio (Japan)
Hopfield neural network, Chaotic noise, Simulated annealing, Traveling salesman problem
In this paper, we propose the Hopfield neural net work with effective noise to solve the traveling sales man problem. This noise is based on the iterative simulated annealing method. And we investigate the general solving ability of this noise to compared with the chaotic one on the points of the detecting rate of global minimum and avarage rate of detection for local minima.
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