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pro vyhledávání: '"Betül S. Yildiz"'
Autor:
Betül S. Yildiz, Nantiwat Pholdee, Pranav Mehta, Sadiq M. Sait, Sumit Kumar, Sujin Bureerat, Ali Riza Yildiz
Publikováno v:
Materials Testing. 65:134-143
In this present work, mechanical engineering optimization problems are solved by employing a novel optimizer (HFDO-DOBL) based on a physics-based flow direction optimizer (FDO) and dynamic oppositional-based learning. Five real-world engineering prob
Autor:
Pranav Mehta, Betül S. Yildiz, Sumit Kumar, Nantiwat Pholdee, Sadiq M. Sait, Natee Panagant, Sujin Bureerat, Ali Riza Yildiz
Publikováno v:
Materials Testing. 64:1172-1182
Nature-inspired metaheuristic algorithms have wide applications that have greater emphasis over the classical optimization techniques. The INFO algorithm is developed on the basis of the weighted mean of the vectors, which enhances the superior vecto