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

Rafaela P.C. Moreira*, Elizabeth F. Wanner, Flávio V.C. Martins, João F.M. Sarubbi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationApplications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings
PublisherSpringer
Pages897-913
Number of pages17
Volume10784 LNCS
ISBN (Print)9783319775371
DOIs
Publication statusPublished - 8 Mar 2018
Event21st International Conference on Applications of Evolutionary Computation, EvoApplications 2018 - parma, Italy
Duration: 4 Apr 20186 Apr 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10784 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Applications of Evolutionary Computation, EvoApplications 2018
CountryItaly
Cityparma
Period4/04/186/04/18

Fingerprint

Evolutionary Computation
Evolutionary algorithms
Students
Software
Color
Evolutionary Strategy
Evaluate
Costs
Weighted Sums
Preparation
Choose
Restriction
Minimise
Methodology

Bibliographical note

© 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: http://dx.doi.org/10.1007/978-3-319-77538-8_59.

Funding: CEFET-MG, CNPq, FAPEMIG and CAPES.

Keywords

  • Evolutionary computation
  • Food technology
  • Menu Planning
  • Public health informatics
  • School feeding

Cite this

Moreira, R. P. C., Wanner, E. F., Martins, F. V. C., & Sarubbi, J. F. M. (2018). CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation. In Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings (Vol. 10784 LNCS, pp. 897-913). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10784 LNCS). Springer. https://doi.org/10.1007/978-3-319-77538-8_59
Moreira, Rafaela P.C. ; Wanner, Elizabeth F. ; Martins, Flávio V.C. ; Sarubbi, João F.M. / CardNutri : A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation. Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings. Vol. 10784 LNCS Springer, 2018. pp. 897-913 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{fb471d521a7d47f28ec902dfa03301a9,
title = "CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation",
abstract = "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.",
keywords = "Evolutionary computation, Food technology, Menu Planning, Public health informatics, School feeding",
author = "Moreira, {Rafaela P.C.} and Wanner, {Elizabeth F.} and Martins, {Fl{\'a}vio V.C.} and Sarubbi, {Jo{\~a}o F.M.}",
note = "{\circledC} 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: http://dx.doi.org/10.1007/978-3-319-77538-8_59. Funding: CEFET-MG, CNPq, FAPEMIG and CAPES.",
year = "2018",
month = "3",
day = "8",
doi = "10.1007/978-3-319-77538-8_59",
language = "English",
isbn = "9783319775371",
volume = "10784 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "897--913",
booktitle = "Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings",
address = "Germany",

}

Moreira, RPC, Wanner, EF, Martins, FVC & Sarubbi, JFM 2018, CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation. in Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings. vol. 10784 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10784 LNCS, Springer, pp. 897-913, 21st International Conference on Applications of Evolutionary Computation, EvoApplications 2018, parma, Italy, 4/04/18. https://doi.org/10.1007/978-3-319-77538-8_59

CardNutri : A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation. / Moreira, Rafaela P.C.; Wanner, Elizabeth F.; Martins, Flávio V.C.; Sarubbi, João F.M.

Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings. Vol. 10784 LNCS Springer, 2018. p. 897-913 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10784 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - CardNutri

T2 - A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation

AU - Moreira, Rafaela P.C.

AU - Wanner, Elizabeth F.

AU - Martins, Flávio V.C.

AU - Sarubbi, João F.M.

N1 - © 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: http://dx.doi.org/10.1007/978-3-319-77538-8_59. Funding: CEFET-MG, CNPq, FAPEMIG and CAPES.

PY - 2018/3/8

Y1 - 2018/3/8

N2 - 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.

AB - 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.

KW - Evolutionary computation

KW - Food technology

KW - Menu Planning

KW - Public health informatics

KW - School feeding

UR - http://www.scopus.com/inward/record.url?scp=85044068793&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-77538-8_59

DO - 10.1007/978-3-319-77538-8_59

M3 - Conference contribution

AN - SCOPUS:85044068793

SN - 9783319775371

VL - 10784 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 897

EP - 913

BT - Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings

PB - Springer

ER -

Moreira RPC, Wanner EF, Martins FVC, Sarubbi JFM. CardNutri: A Software of Weekly Menus Nutritional Elaboration for Scholar Feeding Applying Evolutionary Computation. In Applications of Evolutionary Computation - 21st International Conference, EvoApplications 2018, Proceedings. Vol. 10784 LNCS. Springer. 2018. p. 897-913. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-77538-8_59