CardNutri:A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation


This paper aims to present and evaluate a software that uses an evolutionary strategy to design weekly nutritional menus for School Feeding. The software ensures the nutritional needs of students and also minimizes the total cost of the menu. We based our nutritional needs on the Brazilian National School Feeding Programme (PNAE). This program takes into account: (i) the age of the student; (ii) some preparations issues as color, consistency and, variety; and also (iii) the maximum amount to be paid per meal. Our software generates, in less than five minutes, a set of menus, and the nutritionist can choose the menu that suits his/her best. We evaluate our algorithm using the Weighted-Sum approach, and our results show that the obtained 5-days menus using the proposed methodology not only comply with the restrictions imposed by the authorities but also produce inexpensive and healthy menus. We also appraise the software itself using an opinion pool among nine nutritionists. The professionals considered our software above expectations.

Publication DOI:
Divisions: College of Engineering & Physical Sciences
Funding Information: Acknowledgements. This work was partially funded by CEFET-MG, CNPq,
Additional Information: © 2018 Springer Publishing. This is a post-peer-review, pre-copyedit version of an article published in Applications of Evolutionary Computation. The final authenticated version is available online at: Funding: CEFET-MG, CNPq, FAPEMIG and CAPES.
Event Title: 21st International Conference on Applications of Evolutionary Computation, EvoApplications 2018
Event Type: Other
Event Dates: 2018-04-04 - 2018-04-06
Uncontrolled Keywords: Evolutionary computation,Food technology,Menu Planning,Public health informatics,School feeding,Theoretical Computer Science,Computer Science(all)
ISBN: 9783319775371
Last Modified: 03 Jun 2024 08:01
Date Deposited: 23 May 2018 12:40
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2018-03-08
Accepted Date: 2018-03-07
Authors: Moreira, Rafaela P.C.
Wanner, Elizabeth F. (ORCID Profile 0000-0001-6450-3043)
Martins, Flávio V.C.
Sarubbi, João F.M.



Version: Accepted Version

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