1 Ocak 2017 Konferans bildirisi Açık Erişim

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

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{
  "@context": "https://schema.org/", 
  "@id": 98245, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Gebze Tckn Univ, Elekt Muhendisligi, Kocaeli, Turkey", 
      "name": "Tokta, Aybars"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Gebze Tckn Univ, Elekt Muhendisligi, Kocaeli, Turkey", 
      "name": "Hocaoglu, Ali Koksal"
    }, 
    {
      "@type": "Person", 
      "affiliation": "TUBITAK, BILGEM, Kocaeli, Turkey", 
      "name": "Genc, Hakki Murat"
    }
  ], 
  "datePublished": "2017-01-01", 
  "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.", 
  "headline": "Target Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm", 
  "identifier": 98245, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Target Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm", 
  "url": "https://aperta.ulakbim.gov.tr/record/98245"
}