The Application of Multi-objective Optimization Algorithm in Diabetic Nutrition Meal Planning

DOI: https://doi.org/10.62517/jike.202404123

Author(s)

Junling Sun1, Gaoping Wang2

Affiliation(s)

1College of Computer and Artificial Intelligence, Henan Finance University, Zhengzhou, Henan, China 2Department of Engineering, Huanghe S&T College, Zhengzhou, Henan, China

Abstract

This study aims to explore the application of multi-objective optimization algorithms in nutritional meal planning for diabetics, optimizing dietary formulas based on various health indicators and nutritional needs. A personalized nutritional meal planning model for diabetics was constructed by combining medical nutrition principles with a genetic algorithm-based multi-objective optimization approach. Through simulated experiments and comparative analysis, the effectiveness of the proposed algorithm was verified, leading to the identification of optimal meal plans that satisfy the multiple health goals of diabetics. The findings indicate that this algorithm can significantly improve the dietary quality of diabetics while satisfying their specific requirements for sugar, calorie, and nutritional content control. Therefore, this study provides a scientific and effective approach to nutritional meal planning for diabetics.

Keywords

Diabetes; Nutrition Meal Planning; Multi-objective Optimization; NSGA-II; Blood Glucose

References

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