Journal of Optimization / 2023 / Article / Tab 5 / Review Article
A Systematic Review of Linear Programming Techniques as Applied to Diet Optimisation and Opportunities for Improvement Table 5 Summary of details retrieved from articles that did not specify minimisation or maximisation.
Reference Objective function (s) Decision variable (s) Constraint (s) Focus Mathematical approach used Pasic et al. [54 ] Minimise variations from the defined nutrients (micro and macro), food cost Food commodities Recommended nutrient intake, upper limits of nutrients Goal programming Ferguson et al. [37 ] Meet nutrient needs (while considering locally appropriate FBR that are low cost and can enhance nutrient adequacy) Amount of food item Energy content, minimum and maximum number of servings from food groups, grams of each food item Find realistic food-based recommendations (FBRs) and ascertain how they could ensure intake adequacy for 12 nutrients Linear programming (Optifood software) McMahon et al. [28 ] Minimise sodium intake while maintaining iodine intake Reduction in sodium content in different foods Nutrient intake (allowable levels, recommended dietary intake, upper limits) To evaluate the intake of sodium and iodine against requirements and then model the possible impacts of salt-reduction strategies on estimated sodium and iodine intakes in indigenous Australian communities Linear programming
FBRs—food-based recommendations.