1 Ocak 2017 Konferans bildirisi Açık Erişim

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

Dublin Core

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  <dc:creator>Tokta, Aybars</dc:creator>
  <dc:creator>Hocaoglu, Ali Koksal</dc:creator>
  <dc:creator>Genc, Hakki Murat</dc:creator>
  <dc:date>2017-01-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/98245</dc:identifier>
  <dc:identifier>oai:zenodo.org:98245</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>Target Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
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