Diabetes diet nutrition optimization based on particle swarm optimization algorithm |
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| Authors: | KONG Wei-jian WEI Jian-ming WANG Yong-fang and ZHANG Hong-guang |
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| Institution: | School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China;Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 200135, P. R. China;,Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 200135, P. R. China;,School of Communication and Information Engineering, Shanghai University, Shanghai 200072, P. R. China and Shanghai Carelinker Inc, Shanghai 200443, P. R. China |
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| Abstract: | 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. |
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| Keywords: | diabetes nutritional intervention nutrition optimization particle swarm optimization |
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