Implement a Proper Nutrition Model for Athletes Using the Linear Optimization Model

Abstract

Purpose: According to the previous studies, an athlete's required calory must be achieved through a healthy, carbohydrate-rich, low-fat and protein-rich diet. The focus of this study is to apply this diet by the use of optimizing the linear programming problem. Material and Methods: A 24 years old boy with 22.7 kg/m2 body mass index(BMI) spending 2 hours fun swimming, was selected for this research. Afterward by the use of library resources , minimum and maximum of required calory (about 3000 kcal) and nutrients was determined. Maximizing the amount of calory and minimizing fat intake are the objectives of linear programming. The maximum and minimum amount of nutrients. to solve this problem an appropriate computational software matlab was used. Results: After solving nutrition model , a quantitative values of each food was acquired. This quantitative values is considered as an originator of an optimized diet upon maximizing calory and reducing fat intake. The amount of daily intake from various nutritive food was achieved by an appropriate application. Conclusion: According to the research findings, we can express that by the use of linear programming to optimize the diet the quantitative data of nutrients in eating schedule is acquired. Consequently, we will observe increase of calory and fat reduction by considering nutrition and food variety in course meals.