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MONTE CARLO SIMULATION OF NUTRIENT BASED SERVING SIZES OF FOOD 1
Author(s) -
WARD ROBERT C.,
HARPER JUDSON M.,
JANSEN NORMAN B.
Publication year - 1978
Publication title -
journal of food processing and preservation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.511
H-Index - 48
eISSN - 1745-4549
pISSN - 0145-8892
DOI - 10.1111/j.1745-4549.1978.tb00555.x
Subject(s) - monte carlo method , statistical physics , nutrient , computer science , environmental science , statistics , chemistry , mathematics , physics , organic chemistry
Monte Carlo simulation and linear programming are combined to form a procedure for evaluating the serving sizes of foods needed to meet minimum nutritional standards (RDA female and male and U.S. RDA). The procedure is described and applied using over 400 common food items to simulate hundreds of thousands of meals. Once each meal is randomly chosen via Monte Carlo simulation, linear programming is used to determine the food serving size that meets nutrient standards while at the same time minimizing the deviation from currently accepted standard serving sizes. The serving sizes are to be analyzed to compare the effect of different standards, calorie levels, and meals (breakfast, lunch and dinner). The paper describes the methodology used in the simulation and presents examples of the results obtained.