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<records>
  <record>
    <language>eng</language>
    <publisher>Science and Education Publishing</publisher>
    <journalTitle>Journal of Food and Nutrition Research</journalTitle>
    <eissn>2333-1240</eissn>
    <publicationDate>2014-11-20</publicationDate>
    <volume>2</volume>
    <issue>12</issue>
    <startPage>952</startPage>
    <endPage>958</endPage>
    <doi>10.12691/jfnr-2-12-15</doi>
    <publisherRecordId>JFNR201421215</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">A Comparative Study on Bayesian Optimization Algorithm for Nutrition Problem</title>
    <authors>
      <author>
        <name>Serpil Gumustekin</name>
        <email>serpil.gumustekin@omu.edu.tr</email>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Talat Senel</name>
        <affiliationId>1</affiliationId>
      </author>
      <author>
        <name>Mehmet Ali Cengiz</name>
        <affiliationId>1</affiliationId>
      </author>
    </authors>
    <affiliationsList>
      <affiliationName affiliationId="1">Department of Statistics, Faculty of Arts and Science, Ondokuzmayis University, Samsun, Turkey</affiliationName>
    </affiliationsList>
    <abstract language="eng">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.</abstract>
    <fullTextUrl format="pdf">http://pubs.sciepub.com/jfnr/2/12/15/jfnr-2-12-15.pdf</fullTextUrl>
    <keywords language="eng">
      <keyword>genetic algorithm</keyword>
      <keyword>optimization</keyword>
      <keyword>Bayesian network</keyword>
      <keyword>nutrition</keyword>
      <keyword>breakfast</keyword>
      <keyword>nutrients</keyword>
    </keywords>
  </record>
</records>