Diabetes diet nutrition optimization based on particle swarm optimization algorithm

摘要

Nutrition intervention is the key to prevent and control diabetes mellitus. Diabetic patients' nutrition intervention requires reasonably control of the intakes of the three major nutrients. A diabetes diet nutrition optimization method based on particle swarm optimization(PSO) algorithm is proposed for individual nutritional intervention of diabetes. Firstly, a nutritional optimization mathematical model is established, which meets the demand of diabetic patients' three major nutrients intake, and then an improved particle swarm optimization algorithm is applied to solve the model. To enhance the convergence speed and search ability of the standard particle swarm optimization, the adaptive inertia weight factor and the natural selection mechanism are introduced in PSO. The performance of the proposed method is verified through an experiment, and the attainment rates of three major nutrients in the designed recipes are close to 100% according to the experimental results, which indicates that it can greatly improve the precision of diabetes nutrition recipes.