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- W2912816146 abstract "In this study, the performance of current metasheuristic optimization algorithms are compared. Seven different optimization algorithms were used when comparing performance, inspired by nature and different branches of science. 23 unrestricted benchmarking functions and 2 constrained engineering problems were used to compare the performance. According to the result of the test, the mathematically based Golden Sine Algorithm (GoldSA) and Sinus Cosine Algorithm (SCA) are faster and perform better than other algorithms." @default.
- W2912816146 created "2019-02-21" @default.
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- W2912816146 date "2018-09-01" @default.
- W2912816146 modified "2023-09-27" @default.
- W2912816146 title "Güncel Metasezgisel Optimizasyon Algoritmalarının Performans Karşılaştırılması" @default.
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- W2912816146 doi "https://doi.org/10.1109/idap.2018.8620764" @default.
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