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Target Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm

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

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.

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Kayıt Bilgileri

Yayınlanma tarihi:
01/01/2017
Konferans Bilgileri:
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
Lisans:
Creative Commons Attribution

Alıntı yap

Tokta, A., Hocaoglu, A. K. ve Genc, H. M. (2017). Target Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm. içinde . https://aperta.ulakbim.gov.tr/record/98245 adresinden erişildi.
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