1 Ocak 2017 Konferans bildirisi Açık Erişim

Tokta, Aybars; Hocaoglu, Ali Koksal; Genc, Hakki Murat

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/98245</identifier>
  <creators>
    <creator>
      <creatorName>Tokta, Aybars</creatorName>
      <givenName>Aybars</givenName>
      <familyName>Tokta</familyName>
      <affiliation>Gebze Tckn Univ, Elekt Muhendisligi, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Hocaoglu, Ali Koksal</creatorName>
      <givenName>Ali Koksal</givenName>
      <familyName>Hocaoglu</familyName>
      <affiliation>Gebze Tckn Univ, Elekt Muhendisligi, Kocaeli, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Genc, Hakki Murat</creatorName>
      <givenName>Hakki Murat</givenName>
      <familyName>Genc</familyName>
      <affiliation>TUBITAK, BILGEM, Kocaeli, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Target Motion Analysis With Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2017</publicationYear>
  <dates>
    <date dateType="Issued">2017-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/98245</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.98244</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.98245</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">In this paper, an evolutionary search approach is proposed for the bearing only target motion analysis problem. A problem spesific modification for the Big Bang-Big Crunch optimization algorithm, namely, Fitness Adaptive Big Bang-Big Crunch optimization algorithm is used as the evolutionary search method. The effectiveness of the proposed method is demonstrated by testing the algorithm in different tracking scenarios.</description>
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