Bi-objective goal programming for balancing costs vs. nutritional adequacy.

ABSTRACT:

Introduction

Linear programming (LP) is often used within diet optimization to find, from a set of available food commodities, the most affordable diet that meets the nutritional requirements of an individual or (sub)population. It is, however, not always possible to create a feasible diet, as certain nutritional requirements are difficult to meet. In that case, goal programming (GP) can be used to minimize deviations from the nutritional requirements in order to obtain a near feasible diet. With GP the cost of the diet is often overlooked or taken into account using the ε-constraint method. This method does not guarantee to find all possible trade-offs between costs and nutritional deficiency without solving many uninformative LPs.

Methods

We present a method to find all tr

SUBMITTER: Koenen MF 

PROVIDER: S-EPMC9798409 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature