Journal of Food and Nutrition Research
ISSN (Print): 2333-1119 ISSN (Online): 2333-1240 Website: Editor-in-chief: Prabhat Kumar Mandal
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Journal of Food and Nutrition Research. 2014, 2(12), 952-958
DOI: 10.12691/jfnr-2-12-15
Open AccessArticle

A Comparative Study on Bayesian Optimization Algorithm for Nutrition Problem

Serpil Gumustekin1, , Talat Senel1 and Mehmet Ali Cengiz1

1Department of Statistics, Faculty of Arts and Science, Ondokuzmayis University, Samsun, Turkey

Pub. Date: November 20, 2014

Cite this paper:
Serpil Gumustekin, Talat Senel and Mehmet Ali Cengiz. A Comparative Study on Bayesian Optimization Algorithm for Nutrition Problem. Journal of Food and Nutrition Research. 2014; 2(12):952-958. doi: 10.12691/jfnr-2-12-15


In this paper, the Bayesian Optimization Algorithm (BOA), which is one of the multivariate EDA algorithms with graphical model, was investigated. Then BOA was applied to the problem of nutrition for breakfast. The results obtained from BOA were compared to Genetic Algorithm and Linear Programming. At the end of the comparisons, for the problem of a recommended diet for breakfast, BOA approach gives more effective results than the other mentioned methods in terms of time and the cost.

genetic algorithm optimization Bayesian network nutrition breakfast nutrients

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