基于Hopfield神经网络的车辆路径优化研究

Meng Wei, Yu Bin
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摘要

车辆路径优化本质上是一个基于约束的最短路径问题,可以用基于hopfield的神经网络来求解。本文提出了一种基于Hopfield的车辆路径优化算法,该算法可以在给定配送位置和货物数量的情况下,快速求解物流配送路径。实验结果表明,该算法具有收敛快、计算准确等优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on optimization of vehicle routing based on Hopfield neural network
The optimization of vehicle routing is essentially a constraint-based shortest path problem, which can be resolved by Hopfield-based neural network. This paper proposes a vehicle routing optimization algorithm based on Hopfield, which can offer a solution for logistics distribution routing quickly under the circumstance of the given distribution position and cargo amount. Experimental results have shown that the algorithm has advantages in fast convergence and accurate computation, etc.
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