糖尿病患个体化食谱营养优化建模与算法实现

doi:10.12066/j.issn.1007-2861.1842

Abstract

Abstract:

A diabetic's nutritional diet program designed according to the patient's condition is a premise for effective control of blood glucose. In view of the demand of individualized nutrition therapy for diabetes patients, a multi-objective optimization model is established to meet the requirements of patients with different genders, heights, weights, ages and blood glucose levels. The model and the algorithm are validated in a specific experiment. The results show that nutrition of designed recipes is balanced, and weights of the ingredients are reasonable so that nutritional needs of the patients can be met. The model and the algorithm are effective and feasible, with improved precision of diabetes nutrition recipe design.

Key words: diabetes, nutritional diet, non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ), multi-objective optimization

CLC Number:

KONG Weijian, WANG Yongfang, TONG Zilei, ZHANG Hongguang. Modeling and algorithm implementation of dietary nutrition optimization for diabetic patients[J]. Journal of Shanghai University（Natural Science Edition）, 2018, 24(4): 583-591.

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References 19

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Modeling and algorithm implementation of dietary nutrition optimization for diabetic patients

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