Science and Education Publishing Journal of Food and Nutrition Research 2333-1240 2 12 2014 11 20 A Comparative Study on Bayesian Optimization Algorithm for Nutrition Problem 952 958 EN Serpil Gumustekin Department of Statistics, Faculty of Arts and Science, Ondokuzmayis University, Samsun, Turkey Talat Senel Mehmet Ali Cengiz JFNR201421215 10.12691/jfnr-2-12-15 2014 10 14 2014 11 13 2014 11 20 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.