用Hopfield网络解决北疆物流路径问题的一种算法

An Algorithm for Solving the Problems of Logistic Rowte of Northern Xinjiang Based on the Hopfield Network

针对新疆的物流提出一种基于Hopfield网络的方法,物流问题是一个典型的优化组合的问题,快速有效地解决物流路径问题具有非常重要的理论意义和实际价值。模拟实验表明,该方法迭代次数少、收敛速度快,易于获得有效解和全局最优解。

This paper proposes an algorithm of solving the logistic of Xinjang based on Hopfield network learning.The logistic problem is a typical combination optimization problem.It has important theoretical significance and high practical values to solve the problem quickly and effectively.The simulation experiment show that this algorithm has less iterations,faster convergence speed,and is easy to obtain effective and global optimal solution.