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A New Filled Function for Global Optimization

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dc.creator ERMİŞ, TEMEL
dc.creator Awan, Muhammad Wasim
dc.creator ŞAHİNER, Ahmet
dc.date 2023-09-01T00:00:00Z
dc.date.accessioned 2025-02-25T10:20:10Z
dc.date.available 2025-02-25T10:20:10Z
dc.identifier 3a3a1777-c80d-49bd-be6b-8792de47b3e7
dc.identifier 10.2478/auom-2023-0039
dc.identifier https://avesis.sdu.edu.tr/publication/details/3a3a1777-c80d-49bd-be6b-8792de47b3e7/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/99371
dc.description The filled function method has recently become very popular in optimization theory, as it is an e cient and e ective method for finding the global minimizer of multimodal functions. However, the fact that the existing filled functions in the literature generally have exponential or logarithmic terms and/or parameter sensitivity reduces the e ectiveness of this method. In this study, we propose a new non parameter and without exponential/logarithmic terms filled function, which is numerically stable, and is successfully used to solve global optimization problems. Furthermore, we have demonstrated how successful this new filled function method in terms of e ciency with numerical experiments and comparisons.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title A New Filled Function for Global Optimization
dc.type info:eu-repo/semantics/article


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