基于改进神经网络的粮食配送中心选址决策研究

Research on site selection of grain distribution center applying improved neural network

粮食配送中心选址问题是构建现代化粮食物流系统的重要研究方向。从粮食配送中心选址的影响因素出发,建立了以控制成本为核心的数学模型,引入了经遗传算法改进的人工神经网络模型进行求解,并且给出了详细的设计步骤。为解决遗传算法易陷入局部最优的问题,提出了一种在变异算子中增加禁忌搜索的方法。实验证明,该方法在解决粮食配送中心的选址决策时,效果较好。

Site selection of grain logistics distribution center is an important research direction of grain logistics system analysis. Based on the effeeting factors of grain logistics distribution center, built the location models for building timber logistics centers, and solved it by introducing the genetic algorithm to improve the artificial neural network model, and gave a detailed design steps. In order to solve the problem of genetic algorithm easily into local optimal solution, this paper increased a tabu search in a mutation method. The experiment proved that the effect is better when solve the question of the grain distribution center location decisions.