Computer Optimization of Food Nutrition Formula Based on the Consideration of Adaptive Genetic Algorithm

摘要

Food nutrition is related to the national welfare and the people's livelihood, while frequent food safety incidents have tested people's lives and put them at risk again and again. With the rapid development of the Internet, computer optimization of food nutrition formula (hereinafter referred to as COFNF for short) has become an important method to solve the food nutrition problems in our country. In this paper, a kind of computer optimization method for the food nutrition formula based on the consideration of the adaptive genetic algorithm as the core is put forward. The computer optimization of the food nutrition formula is generated by the matrix decomposition based on the consideration of the heterogeneous data. In this system, the food nutrition information and the sign-in data are combined in an effective manner; and at the same time, they are merged into the same system to achieve the complementary advantages. The system that takes the complementary advantages into consideration can make more accurate prediction about the preference of the users. It is found in this study through experiments that: Compared with the other mainstream computer optimization of the food nutrition formula, the COFNF algorithm has relatively significant improvement in both the accuracy index and the recall rate index.