Research on optimization of vehicle routing based on Hopfield neural network

Abstract

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.