A Systematic Review of Linear Programming Techniques as Applied to Diet Optimisation and Opportunities for Improvement

Leticia Donkor, Emmanuel Essien, Nicole Sharon Afrifah

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Background. Food provides the required nutrients for adequate growth and development. However, meeting the recommended nutrients while considering environmental sustainability can be complicated and challenging. Previously, trial-and-error methods were used for product development, but these are tedious and time-consuming. Mathematical techniques such as linear programming ofer an alternative and rapid approach to developing products with nutritional/or sustainability considerations. Tis method has been extensively used in diet optimisation but does not sufciently address dietary problems with more than one objective function. Aim. Te review aimed to explore the extent of mathematical approaches to address dietary problems. Methodology. A systematic review approach was adopted for the research. Te major search engines used were Scopus, PubMed, and Science Direct, based on selected keywords. A stepwise structural method was used to obtain articles. Articles that contained the search keywords but applied in nonhuman cases were excluded. Duplicated articles were also excluded and accounted for as one. All articles were subjected to further review based on their abstract and complete titles before passing them for data analysis. Results. Te total number of articles obtained from the search activity was 280. Fifty-six were retained after the criteria for inclusion were applied to them. Out of the 56 articles retained, only two studies used goal programming and nonlinear generalised mathematical approaches to address dietary problems. All other studies used the linear programming approach, focusing mainly on one or two constraints (nutrients and/or acceptability), highlighting the limitations of linear programming in addressing the multiple factors of a sustainable diet. Several researchers have proposed using multiobjective optimisation, an extension of linear programming, to address challenges with sustainable diets. Tese approaches can be further explored to address sustainable dietary problems.

Original languageEnglish
Article number1271115
JournalJournal of Optimization
Volume2023
DOIs
Publication statusPublished - 2023

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