Selection of Food Items for Diet Problem Using a Multi-objective Approach under Uncertainty

Saman Hassanzadeh Amin, Samantha Mulligan-Gow and Guoqing Zhang

A chapter in Application of Decision Science in Business and Management from IntechOpen

Abstract: It is a problem that concerns us all: what should we eat on a day-to-day basis to meet our health goals? Scientists have been utilizing mathematical programming to answer this question. Through the use of operations research techniques, it is possible to find a list of foods that, in a certain quantity, can provide all nutrient recommendations in a day. In this research, a multi-objective programming model is provided to determine the selected food items for a diet problem. Two solution approaches are developed to solve this problem including weighted-sums and ?-constraint methods. Two sources of uncertainty have been considered in the model. To handle these sources, a scenario-based approach is utilized. The application of this model is shown using a case study in Canada. Using the proposed model and the solution approaches, the best food items can be selected and purchased to minimize the total cost and maximize health.

Keywords: food optimization; diet; nutrition; multi-objective programming; uncertainty (search for similar items in EconPapers)
JEL-codes: D7 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:204903

DOI: 10.5772/intechopen.88691

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