摘要
建立了粮食物流中心选址模型,分析选址过程中的影响因素,采用经遗传算法改进的神经网络来建立选址的评价模型.实验证明,与专家评审的选址决策方法相比,该模型能够有效解决粮食物流中心的选址评价问题.
A site selection model of the grain logistics center was constructed, the factors affecting the site selection process were analyzed, and a site selection evaluation model was constructed by using a neural network improved by genetic algorithm. The test shows that the model can effectively solve the site selection evaluation problem of grain logistics center in comparison with the site selection decision method evaluated by experts.
出处
《河南工业大学学报（自然科学版）》
CAS
北大核心
2009年第6期80-83,共4页
Journal of Henan University of Technology：Natural Science Edition
基金
河南省教育厅自然科学研究项目(2009B120002)
河南工业大学科研基金项目(08XGG035)
关键词
智能优化算法
粮食物流中心
选址
成本控制
intelligent optimizaiton algorithm
grain logistics center
site selection
cost control
