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

IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY
Leticia Donkor, Emmanuel Essien, N. S. Affrifah
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引用次数: 0

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 offer an alternative and rapid approach to developing products with nutritional/or sustainability considerations. This method has been extensively used in diet optimisation but does not sufficiently address dietary problems with more than one objective function. Aim. The review aimed to explore the extent of mathematical approaches to address dietary problems. Methodology. A systematic review approach was adopted for the research. The 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. The 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. These approaches can be further explored to address sustainable dietary problems.
线性规划技术在饮食优化中的应用及其改进机会的系统综述
背景。食物提供足够的生长发育所需的营养。然而,在考虑环境可持续性的同时满足推荐营养素可能是复杂和具有挑战性的。以前,产品开发使用的是试错法,但这些方法既繁琐又耗时。线性规划等数学技术为开发具有营养/可持续性考虑的产品提供了一种替代和快速的方法。该方法已广泛应用于饮食优化,但不能充分解决饮食问题与多个目标函数。的目标。这篇综述旨在探讨数学方法在解决饮食问题方面的应用范围。方法。本研究采用系统综述方法。使用的主要搜索引擎是Scopus, PubMed和Science Direct,基于选定的关键词。采用逐级结构法获得文章。包含搜索关键词但应用于非人类病例的文章被排除在外。重复的文章也被排除,并作为一个计算。所有文章在通过数据分析之前,都要根据摘要和完整的标题进行进一步的审查。结果。从搜索活动中获得的文章总数为280篇。56人在适用纳入标准后被保留。在保留的56篇文章中,只有两篇研究使用了目标规划和非线性广义数学方法来解决饮食问题。所有其他研究都使用线性规划方法,主要关注一两个限制(营养和/或可接受性),强调线性规划在解决可持续饮食的多重因素方面的局限性。一些研究人员已经提出使用多目标优化,线性规划的延伸,以解决可持续饮食的挑战。这些方法可以进一步探讨,以解决可持续饮食问题。
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来源期刊
Journal of Optimization
Journal of Optimization ENGINEERING, MULTIDISCIPLINARY-
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