University of Oulu

Heinonen, Petri, Juuso, Esko K. (2018) Development of a genetic algorithms optimization algorithm for a nutritional guidance application. In: Linköping Electronic Conference Proceedings vol. 142, Proceedings of the 9th EUROSIM Congress on Modelling and Simulation, 12-16 September 2016 in Oulu, Finland, (pp.56-61).

Development of a genetic algorithms optimization algorithm for a nutritional guidance application

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Author: Heinonen, Petri1; Juuso, Esko K.2
Organizations: 1Nutri-Flow Oy, Finland
2Control Engineering, Faculty of Technology, University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
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Language: English
Published: Linköping University Electronic Press, 2018
Publish Date: 2022-02-21


Personalized easy to follow nutritional guidance is getting more important, since lifestyle related health problems are increasing. To gain a healthy balanced diet usually requires knowledge of a licensed nutritionist. There is a Fuzzy Expert System (FES) which applies knowledge of nutritionists, health data of an individual, personalized nutritional recommendation, and a meal diary with food composition data to balance a diet. FES generates a set of foods and beverages which should be altered in the diet with information on the direction and importance of the change. This paper presents a selection and a development of an optimization algorithm to be integrated with FES to provide easy to follow nutritional guidance. The selection process is carried out as a literature review. The development of selected Genetic Algorithms (GA) is carried out as an integrated part of Nutritional Guidance application, Nutri-Flow®, since FES generates the search space, and is an important part of a Fitness Function of the optimization algorithm. The selection of the design parameters, are described and the test results are presented. Validation of the overall model is carried out with an expert analysis and comparison of the nutrient intake from the initial diet and recommended diet.

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Series: Linköping electronic conference proceedings
ISSN: 1650-3686
ISSN-E: 1650-3740
ISSN-L: 1650-3686
ISBN: 978-91-7685-399-3
Volume: 142
Issue: 8
Pages: 755 - 761
DOI: 10.3384/ecp1714255
Host publication: Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Host publication editor: Juuso, Esko
Dahlquist, Erik
Leiviskä, Kauko
Conference: EUROSIM
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
119 Other natural sciences
213 Electronic, automation and communications engineering, electronics
3141 Health care science
Copyright information: © Scandinavian Simulation Society, 2018.