Research on GEP Algorithm and Its Applications in Foodstuff Yield Prediction from Shaanxi Province

In order to synthetically solve economic and risk issues for food production, researching optimization algorithm of food production¿s forecast based on the gene expression program. Taking Shaanxi province¿s food production as an example to solve some key issues in food production which are the uncertainty information processing, reliability criteria analysis, mathematical model of food production and the model´s solving algorithm. The emphases was starting from the food production research which based on the GEP algorithm, validating the availability of building food production model which based on GEP through the uncertainty information processing. This study based on GEP algorithm established a mathematical model of food production and realized the application by using the optimization methods of solving general multi-objects and non-linear issues. The study had important theory and application values in research on facilitation of food production algorithm and promotion of economical efficiency and reliability in food production.