An adequate dietary planning model using particle swarm optimization

Abstract

This study aims to develop a linear programming optimization model that will effectively assist dietitians in preparing a meal plan for adults with the variety of foods that include appropriate food group proportion and at the same time meets his/her total daily energy requirement, macronutrients and micronutrients needs. The objective function of the programming model is designed to minimize food cost. The model was solved by Particle Swarm Optimization written in Matlab. As a result, a low-cost meal for a day was selected.