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

dc.contributor.authorTokta, Aybars
dc.contributor.authorHocaoglu, Ali Koksal
dc.contributor.authorGenc, Hakki Murat
dc.date.accessioned2025-10-29T11:37:03Z
dc.date.issued2017
dc.departmentGebze Teknik Üniversitesi
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY
dc.description.abstractIn 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.sponsorshipTurk Telekom,Arcelik A S,Aselsan,ARGENIT,HAVELSAN,NETAS,Adresgezgini,IEEE Turkey Sect,AVCR Informat Technologies,Cisco,i2i Syst,Integrated Syst & Syst Design,ENOVAS,FiGES Engn,MS Spektral,Istanbul Teknik Univ
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85026287446
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14854/13635
dc.identifier.wosWOS:000413813100233
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2017 25th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectbearing only target motion analysis
dc.subjectFitness Adaptive Big Bang-Big Crunch optimization algorithm
dc.titleTarget Motion Analysis with Fitness Adaptive Big Bang-Big Crunch Optimization Algorithm
dc.typeConference Object

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