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A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty

机译:一种简单的陡峭滴定方法,最小化Hopfield Energy以合理的确定性获得TSP的最佳解决方案

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摘要

An effective algorithm for the Hopfield neural network model is proposed through its application to the traveling salesman problem. By the estimation of local minimum inside a hypercube of solution space, a threshold value for deciding integer valued solution can be properly chosen. An optimum solution of the TSP is obtained with reasonable certainty.
机译:通过其应用于旅行推销员问题,提出了一种有效的Hopfield神经网络模型算法。通过估计解决方案空间的超立方体内部的局部最小值,可以正确选择用于决定整数值的解决方案的阈值。以合理的确定性获得TSP的最佳解决方案。

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