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Academic Journal of Computing & Information Science, 2023, 6(8); doi: 10.25236/AJCIS.2023.060813.

Research on the Dietary Allocation Strategy of College Students Based on the Planning Model


Hengru Guo, Ze Wang, Chun Miao

Corresponding Author:
Ze Wang

School of Big Data and Artificial Intelligence, Chizhou University, Chizhou, China


The nutrients to maintain human daily needs are: protein, sugar, fat, minerals, vitamins, food cellulose and water 7 categories, a total of about 40 kinds. And the nutritional element components of each kind of food are different, and the regulating effect of each nutritional element on the physiologic function of the body is also different, so a variety of foods must be matched in proportion, in order to meet the demand of nutritional elements needed by the human body. Reasonable nutrition emphasizes that the nutritional elements in the food supplied to human consumption should be complete, moderate content and appropriate proportion. For this situation, this paper, in contemporary college students, for example, to study the problem of contemporary college students how scientific diet, on the basis of the Chinese residents dietary guidelines, dietary balance principle, lists the daily food, nutrient content, with the best consumption of food and the most economic ratio as the ultimate goal, establish a target model based on linear planning. For this model, using the Matlab, the computational software optimizes the computational module, establishing the optimal objective function. Through reasonable assumption and calculation, the parameters of nonlinear planning are optimized and then the linear planning model is obtained, and a more economical and scientific dietary balanced strategy is put forward.


linear planning model; nutritional elements; dietary strategy

Cite This Paper

Hengru Guo, Ze Wang, Chun Miao. Research on the Dietary Allocation Strategy of College Students Based on the Planning Model. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 8: 105-111. https://doi.org/10.25236/AJCIS.2023.060813.


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