Comparative Analysis of Particle Swarm Optimization and Bat Algorithm on Various Test Functions

Ibrahim Isikli () and Bayram Kose ()
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Ibrahim Isikli: Izmir Bakircay Universitesi
Bayram Kose: Izmir Bakircay Universitesi

Journal of Quantum Technologies and Informatics Research, 2024, vol. 2, issue 2, 87-103

Abstract: Bu calisma, Parcacik Suru Optimizasyonu (PSO) ve Yarasa Algoritmasi (BA) gibi dogadan ilham alan optimizasyon algoritmalarinin performanslarini cesitli test fonksiyonlari uzerinde karsilastirmayi amaclamaktadir. Analizler, her iki algoritmanin farkli test fonksiyonlari uzerindeki performansini degerlendirmektedir. Bulgular, her iki algoritmanin da belirli test fonksiyonlari icin benzersiz guclu ve zayif yonlerine isaret etmektedir. Calismada, dogadan ilham alan optimizasyon algoritmalarinin optimizasyon problemlerine yonelik etkili cozumler saglama potansiyelini vurgulamakta ve gelecekteki arastirmalara yol gostermektedir.

Keywords: Particle Swarm Optimization; Bat Algorithm; Comparatice Analysis; Optimization; Optimization Problems (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:jle:joujqt:ktve2459

DOI: 10.70447/ktve.2459

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