基于连续Hopfield网络的物流路径优化研究与仿真
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引用本文:陈 晓 全 .基于连续Hopfield网络的物流路径优化研究与仿真[J].计算技术与自动化,2021,(3):143-146
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陈 晓 全  (江苏大学京江学院 电气信息工程学院,江苏 镇江 212000 ) 
中文摘要:路径优化问题一直是智能控制领域中一个重要的研究对象。针对连续Hopfield神经网络和离散Hopfield神经网络的优缺点,设计了一种基于连续Hopfield网络的物流路径规划方案。首先对网络的结构进行了阐述,同时引入了能量函数的概念,对网络的稳定性进行了证明。根据实际问题的描述,将路径行程映射为换位矩阵,将路径优化的目标函数映射为网络的能量函数,设计出目标函数的动态方程,方程的最小值就为路径规划的最优值。最终通过软件仿真,求得最优解,证明了网络的可行性。
中文关键词:路径优化  连续Hopfield网络  能量函数  动态方程
 
Research and Simulation of Logistics Path Optimization Based on Continuous Hopfield Network
Abstract:Path optimization has always been an important research object in the field of intelligent control. Aiming at the advantages and disadvantages of continuous Hopfield neural network and discrete Hopfield neural network, a path planning scheme based on continuous Hopfield neural network was designed. Firstly, the structure of the network is explained, and the concept of energy function is introduced to prove the stability of the network. According to the description of the actual problem, the path travel is mapped to the transposition matrix, the objective function of the path optimization is mapped to the energy function of the network, and the dynamic equation of the objective function is designed. Finally, through software simulation, the optimal solution was obtained, which proved the feasibility of the network.
keywords:path optimization  continuous Hopfield neural network  energy function  dynamic equation
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