Volume 34, Issue 4, November 2021, Pages 703–710
Sawssan Boufous1
1 SWFREC, IFAS, University of Florida, USA
Original language: English
Copyright © 2021 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study employs linear programming to find a healthy diet at minimum cost to avoid overweight and obesity that affect 9–18-year-old girls in U.S. The data includes the most consumed food in USA based on the USDA ERS data base, and nutrients that are selected from the Dietary Reference Intake Vitamins and Elements list: Protein, Calcium, Iron, Vitamin A, and Vitamin C.
Author Keywords: Diet-problem, linear programming, USA, cost minimization.
Sawssan Boufous1
1 SWFREC, IFAS, University of Florida, USA
Original language: English
Copyright © 2021 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This study employs linear programming to find a healthy diet at minimum cost to avoid overweight and obesity that affect 9–18-year-old girls in U.S. The data includes the most consumed food in USA based on the USDA ERS data base, and nutrients that are selected from the Dietary Reference Intake Vitamins and Elements list: Protein, Calcium, Iron, Vitamin A, and Vitamin C.
Author Keywords: Diet-problem, linear programming, USA, cost minimization.
How to Cite this Article
Sawssan Boufous, “Young American’s diet problem: A linear programing application,” International Journal of Innovation and Applied Studies, vol. 34, no. 4, pp. 703–710, November 2021.
