University of Oulu

Heinonen, P., & Juuso, E. K. (2022). Genetic algorithms in the domain of personalized nutrition. SNE Simulation Notes Europe, 32(1), 47–54.

Genetic algorithms in the domain of personalized nutrition

Saved in:
Author: Heinonen, Petri1; Juuso, Esko K.2
Organizations: 1Nutri-Flow Oy, Villiperäntie 5, FI-90410 Oulu, Finland
2Control Engineering, Environmental and Chemical Engineering, Faculty of Technology, P.O. BOX 4300, FI-90014 University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
Persistent link:
Language: English
Published: ARGESIM, 2022
Publish Date: 2023-01-25


Lifestyle related public health problems are common around the world. Personal nutrient guidance is a tool for promoting healthier lifestyles. Most of the applications available on the market are based on energy only, and a reliable individual assessment and guidance is given by licensed nutritionists. Nutri-Flow has a novel approach into personalized nutrition guidance with Fuzzy Expert System (FES) enhanced with Genetic Algorithms (GA) optimization. While FES assesses the foods and beverages added into a search space, GA is used to 1nd the level of intake for them. The optimization problem is to minimize the distance to ideal nutrient intake levels, and to keep the level of change in a feasible level and take into account other nutrition variables. In this study, the suitability of GA was assessed. Also, the performance the GA was evaluated and evolved. The objective function is presented, and the overall results were evaluated numerically if the system was feasible in the domain of nutrition. The nutritional aspect is not in the scope of this study.

see all

Series: Simulation notes Europe
ISSN: 2305-9974
ISSN-E: 2306-0271
ISSN-L: 2305-9974
Volume: 32
Issue: 1
Pages: 47 - 54
DOI: 10.11128/
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
3142 Public health care science, environmental and occupational health
222 Other engineering and technologies
Copyright information: © 2022 The Authors and SNE Simulation Notes Europe.