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

2017    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.