用Hopfield神经网络与模拟退火算法求解UAV航路规划问题

UAV Route Planning Using Hopfield Neural Network and Simulated Annealing

摘要:

分别用Hopfield神经网络与模拟退火算法求解UAV航路规划问题,并且对所求得结果进行了简单比较,结果表明模拟退火算法比Hopfield神经网络求解UAV航路规划问题效率更高。

Abstract:

An UAV route planning problem is solved using Hopfield Neural Network and Simulated Annealing. The results of the different algorithms is compared with each other, which shows that Hopfield Neural Network is more efficient than Simulated Annealing in solving UAV route planning problem.