Optimal diet selection for university students using integer linear programming

Norazura Ahmad, Nurul Syazwanie Abdullah Sani, Noorsyazmira Mohamed Zaidi
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引用次数: 2

Abstract

The human diet selection is conducted by choosing the appropriate food items that fulfil the nutritional requirements into the diet formulation. This paper discusses the application of integer linear programming (ILP) to develop the mathematical model of diet selection for students in Universiti Utara Malaysia. The developed model is used to solve the diet problem of the students with lowest possible cost. The ILP model is formulated to select suitable food items, which seeks to minimize the costs under conditions of meeting desired nutrient quantities for a healthy student. The optimal result obtained from the ILP model revealed that the minimum cost of a healthy diet is RM10.50 per day.The human diet selection is conducted by choosing the appropriate food items that fulfil the nutritional requirements into the diet formulation. This paper discusses the application of integer linear programming (ILP) to develop the mathematical model of diet selection for students in Universiti Utara Malaysia. The developed model is used to solve the diet problem of the students with lowest possible cost. The ILP model is formulated to select suitable food items, which seeks to minimize the costs under conditions of meeting desired nutrient quantities for a healthy student. The optimal result obtained from the ILP model revealed that the minimum cost of a healthy diet is RM10.50 per day.
基于整数线性规划的大学生最优饮食选择
人类的饮食选择是通过选择适当的食物来满足饮食配方的营养需求。本文讨论了应用整数线性规划(ILP)来开发马来西亚北方大学学生饮食选择的数学模型。该模型旨在以最低的成本解决学生的饮食问题。ILP模型的制定是为了选择合适的食物项目,力求在满足健康学生所需营养量的条件下将成本降至最低。从ILP模型获得的最佳结果显示,健康饮食的最低成本为每天RM10.50。人类的饮食选择是通过选择适当的食物来满足饮食配方的营养需求。本文讨论了应用整数线性规划(ILP)来开发马来西亚北方大学学生饮食选择的数学模型。该模型旨在以最低的成本解决学生的饮食问题。ILP模型的制定是为了选择合适的食物项目,力求在满足健康学生所需营养量的条件下将成本降至最低。从ILP模型获得的最佳结果显示,健康饮食的最低成本为每天RM10.50。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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