中国果蔬发展问题建模及优化研究

发布时间：2018-08-30 13:00

【摘要】：主要研究了人体营养健康角度的中国果蔬发展问题.以公布的水果和蔬菜数据为研究对象,首先建立基于0-1规划的筛选模型,选取主要水果和蔬菜品种进行研究,然后分别建立了基于BP神经网络以及基于时间序列的预测模型,对主要果蔬的消费量进行了估计及趋势预测.接着,建立模糊综合评价模型对我国居民目前矿物质、维生素、膳食纤维等一样的年摄入水平进行了评价,并建立了单目标优化模型来引导北京、四川以及湖北三个地区的果蔬选择.针对我国居民主要果蔬的年度合理人均消费问题,建立了基于居民购买成本、种植面积、出口量以及耕地面积等条件的多目标优化模型,重新计算我国居民主要的水果和蔬菜产品的按年度合理人均消费量,并给出到2020年我国水果和蔬菜产品生产的调整战略.
[Abstract]:The development of Chinese fruits and vegetables from the point of view of human nutrition and health was studied. Taking the published data of fruits and vegetables as the research object, a screening model based on 0-1 planning was established, and the main fruits and vegetables varieties were selected for study. Then, the prediction models based on BP neural network and time series were established, respectively. The consumption of main fruits and vegetables was estimated and the trend was forecasted. Then, a fuzzy comprehensive evaluation model was established to evaluate the current annual intake levels of minerals, vitamins, dietary fiber, etc., and a single objective optimization model was established to guide Beijing. Selection of fruits and vegetables in Sichuan and Hubei provinces. Aiming at the problem of reasonable per capita consumption of main fruits and vegetables per year in China, a multi-objective optimization model is established based on the conditions of purchase cost, planting area, export volume and cultivated land area. This paper recalculates the annual reasonable per capita consumption of main fruit and vegetable products in China and gives the adjustment strategy for the production of fruit and vegetable products in China by 2020.
【作者单位】：三峡大学计算机与信息学院;三峡大学理学院;三峡大学经济与管理学院;
【分类号】：R151;F323.7

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