Bacterial Foraging Optimization Algorithm for Menu Planning

Hernández-Ocaña, Betania; Chávez-Bosquez, Oscar; Hernández-Torruco, José; Canul-Reich, Juana; Pozos-Parra, Pilar

doi:10.1109/access.2018.2794198

Cited by 39 publications

(19 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In general, the most important and common consideration for the MPP is to ensure a healthy and balanced menu from a nutritional point of view. These nutritional requirements are usually grouped into multiple constraints, since they must provide the recommended minimum and maximum amounts of different nutrients [1], [13], [15], [17], [18], [30]. Other common constraints are the variety of the meals, the time required to prepare them, and food that cannot be consumed, among many others [1], [30], [36].…”

Section: Description Of the Menu Planning Problemmentioning

confidence: 99%

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

et al. 2020

View full text Add to dashboard Cite

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals is a decision support tool that addresses the multi-objective menu planning problem in order to automatically produce meal plans for school canteens. Malnutrition is a widespread problem nowadays and is particularly serious when it affects children. In our environment, nutrition experts design healthy and balanced meal plans for children manually, which leaves significant room for improvement in terms of convenience and efficiency. SCHOOLTHY is presented herein as a proposal to improve and facilitate the work of these professionals. We focus on offering healthy and balanced meal plans that not only satisfy the recommended energy and nutrient intakes, but that also have a minimum cost and maximum variety of courses and food groups. Quantitative analyses that compare the meal plans yielded by SCHOOLTHY for meal plans designed by experts at hand and served in regional schools demonstrate the suitability of the proposal. Finally, we note that, thanks to its flexibility, SCHOOLTHY might be easily adapted to deal with other environments, such as hospitals, prisons and retirement homes, among others.

show abstract

Section: Description Of the Menu Planning Problemmentioning

confidence: 99%

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

et al. 2020

View full text Add to dashboard Cite

show abstract

“…It also implements a random swim in the chemotaxis process, along with a skew mechanism for the initial population based on the variables range. TS-MBFOA has been used to solve real-world problems of mechatronic design and also in the nutrition field by generating successful healthy menus [17].…”

Section: Introductionmentioning

confidence: 99%

Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid

et al. 2019

View full text Add to dashboard Cite

An Isolated Microgrid (IMG) is an electrical distribution network combined with modern information technologies aiming at reducing costs and pollution to the environment. In this article, we implement the Bacterial Foraging Optimization Algorithm (BFOA) to optimize an IMG model, which includes renewable energy sources, such as wind and solar, as well as a conventional generation unit based on diesel fuel. Two novel versions of the BFOA were implemented and tested: Two-Swim Modified BFOA (TS-MBFOA), and Normalized TS-MBFOA (NTS-MBFOA). In a first experiment, the TS-MBFOA parameters were calibrated through a set of 87 independent runs. In a second experiment, 30 independent runs of both TS-MBFOA and NTS-MBFOA were conducted to compare their performance on minimizing the IMG using the best parameter tuning. Results showed that TS-MBFOA obtained better numerical solutions compared to NTS-MBFOA and LSHADE-CV, an Evolutionary Algorithm, found in the literature. However, the best solution found by NTS-MBFOA is better from a mechatronic point of view because it favors the lifetime of the IMG, resulting in economic savings in the long term.

show abstract

“…A geração de planos alimentares é um problema de otimização combinatória bem conhecido, podendo ser definido como um problema da mochila 4 (knapsack problem) (Seljak, 2004), identificado como o processo de organizar alimentos/preparações em refeições, de acordo com restrições/limitações especificas (Hernández-Ocaña et al, 2018). Cada item do plano alimentar é expresso em porções e, posteriormente em gramas ou mililitros, e com isso é possível obter uma quantificação da quantidade de energia e componentes, os quais devem satisfazer as recomendações nutricionais para a manutenção das atividades diárias, além das funções vitais.…”

Section: Lista De Abreviaturas E Siglasunclassified

“…MenuGene (Gaál et al, 2007), Planejamento de cardápios baseados em computador (Seljak, 2009), Algoritmo de otimização para planejamento de cardápios (Hernández-Ocaña et al, 2018).…”

Section: Ferramentas Computacionais Utilizadas Na Elaboração De Planounclassified

“…Considerando as possíveis combinações de alimentos ao se elaborar planos alimentares, nutricionalmente adequados e satisfatórios, pode-se dizer que esse processo é um problema complexo, por duas razões: (i) existem vários problemas de restrições (preferências e recomendações nutricionais) que estão correlacionados; (ii) espaço de busca (conjunto de combinações possíveis de alimentos/preparações, considerando as características de cada refeição); e, (iii) características sensoriais, ou seja, combinações de alimentos/preparações, considerando compostos de sabor (Kinouchi et al, 2008;Ahn et al, 2011). Segundo -Ocaña et al (2018) um plano alimentar adequado nutricionalmente é aquele que contempla até 23 alimentos/preparações, distribuídos nas refeições propostas.…”

Section: Ferramentas Computacionais Utilizadas Na Elaboração De Planounclassified

See 1 more Smart Citation

Concepção de uma ferramenta computacional para a geração de planos alimentares personalizados, considerando preferências e necessidades nutricionais

Coelho¹,

Menezes²

View full text Add to dashboard Cite

Bacterial Foraging Optimization Algorithm for Menu Planning

Cited by 39 publications

References 27 publications

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

SCHOOLTHY: Automatic Menu Planner for Healthy and Balanced School Meals

Bacterial Foraging-Based Algorithm for Optimizing the Power Generation of an Isolated Microgrid

Concepção de uma ferramenta computacional para a geração de planos alimentares personalizados, considerando preferências e necessidades nutricionais

Contact Info

Product

Resources

About