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) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022022120089 |
Language: | English |
Published: |
Linköping University Electronic Press,
2018
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Publish Date: | 2022-02-21 |
Description: |
AbstractPersonalized 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. see all
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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 |
OADOI: | https://oadoi.org/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 |
Subjects: | |
Copyright information: |
© Scandinavian Simulation Society, 2018. |