Optimization Study on the Evaluation and Design of College Students' Dietary Recipes based on the Planning Model

Authors

  • Junyi Qian

DOI:

https://doi.org/10.54097/h2ab9z02

Keywords:

Diet Optimization, Nutrition Evaluation, Planning Model

Abstract

In this paper, the optimal design and evaluation of college students' diet recipes were studied. Using the planning model method, a multi-objective optimization model was constructed with the goal of optimal protein and amino acid score and the most economical meal cost. Firstly, by establishing the objective function with protein amino acid score as the main index, combined with the principle of balanced diet optimization design, the daily diet of male university students and female university students was designed, and the dietary nutrition evaluation was carried out. Secondly, in order to pursue the economy of meal cost, an optimization model with cost minimization as the objective function was constructed, and the corresponding reasonable diet was obtained. Finally, to meet the needs of users to pursue nutrition and economy at the same time, a multi-objective optimization model was further constructed, which considered protein and amino acid scores and economy, and provided daily and weekly diet choices that were both nutritious and economical for college students.

Downloads

Download data is not yet available.

References

Alessio Abeltino, Giada Bianchetti, Cassandra Serantoni, Cosimo Federico Ardito, Daniele Malta, Marco De Spirito, Giuseppe Maulucci.Personalized Metabolic Avatar: A Data Driven Model of Metabolism for Weight Variation Forecasting and Diet Plan Evaluation [J]. Nutrients, 2022, Vol.14(17): 3520.

Sternberg, Maya R; Schleicher, Rosemary L; Pfeiffer, Christine M.Regression Modeling Plan for 29 Biochemical Indicators of Diet and Nutrition Measured in NHANES 2003-2006. [J].Journal of Nutrition,2013,Vol.143(6): 948S-956S.

Romane Poinsot, Matthieu Maillot, Adam Drewnowski. Fresh Pork as Protein Source in the USDA Thrifty Food Plan 2021: A Modeling Analysis of Lowest-Cost Healthy Diets [J]. Nutrients, 2023, Vol.15(8): 1897.

Khan, Mohd Arif; Haq, Ahteshamul;Ahmed, Aquil.Multi-objective Model for Daily Diet Planning.[J].Reliability: Theory & Applications,2021,Vol.16(1): 89-97.

Dong Wook Kim; Dong Wook Kim;Ji Seok Park;Kavita Sharma; Amanda Velazquez;Lu Li;John W. Ostrominski;John W. Ostrominski;Tram Tran; Tram Tran; Robert H. Seitter Peréz;Jeong-Hun Shin;Jeong-Hun Shin.Qualitative evaluation of artificial intelligence-generated weight management diet plans [J]. Frontiers in Nutrition,2024,Vol.11: 1374834.

Downloads

Published

29-07-2024

Issue

Section

Articles

How to Cite

Qian, J. (2024). Optimization Study on the Evaluation and Design of College Students’ Dietary Recipes based on the Planning Model. Frontiers in Computing and Intelligent Systems, 9(1), 38-41. https://doi.org/10.54097/h2ab9z02