Open-source multi-objective optimization software for menu planning

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dc.authoridSahin, Omur/0000-0003-1213-7445
dc.contributor.authorSahin, Omur
dc.contributor.authorAytekin-Sahin, Gizem
dc.date.accessioned2025-02-24T17:18:43Z
dc.date.available2025-02-24T17:18:43Z
dc.date.issued2024
dc.departmentFakülteler, Sağlık Bilimleri Fakültesi, Beslenme ve Diyetetik Bölümü
dc.description.abstractHealthy nutrition is essential for maintaining health and preventing chronic diseases. However, with the increase in dining out, the prevalence of obesity and related chronic diseases is increasing daily. Therefore, to provide adequate and balanced nutrition in public, it is necessary to serve healthy menus following the energy and nutrient requirements of the target group in food service institutions. However, menu planning in food services is a complex process involving several factors. The planned menus should provide sufficient nutrients for the target group and consider factors such as color, consistency, appearance, and a variety of food groups. In addition, existing studies have limited constraints, and the fact that they are not open -source makes it difficult to conduct more comprehensive new studies. Furthermore, the lack of dietitian opinions limits its applicability in practice. Therefore, this study applied four different multi -objective optimization algorithms (AGEMOEA, SMSEMOA, NSGA2, and NSGA3) to solve the menu planning problems. The results were shared with 20 food service dietitians who are experts in the area and were asked to score the menus. In addition, an open -source tool called EvoMeal has been developed. In conclusion, our primary findings showed that AGEMOEA and SMSEMOA were used for the first time in the literature for the menu planning problem, which is a multi -objective problem, and they performed better than both NSGA2 and NSGA3 in general. In addition, expert opinions confirmed that AGEMOEA and SMSEMOA give better results than other algorithms. However, future studies need to conduct a more comprehensive expert evaluation to increase its applicability to the field.
dc.identifier.doi10.1016/j.eswa.2024.124213
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85193745440
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2024.124213
dc.identifier.urihttps://hdl.handle.net/20.500.14440/817
dc.identifier.volume252
dc.identifier.wosWOS:001245113400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectMenu planning problem
dc.subjectMulti-objective optimization algorithms
dc.subjectAGEMOEA
dc.subjectSMSEMOA
dc.subjectNSGA2
dc.subjectNSGA3
dc.titleOpen-source multi-objective optimization software for menu planning
dc.typeArticle

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