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


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DOI:

https://doi.org/10.70447/ktve.2459

Keywords:

Particle Swarm Optimization, Bat Algorithm, Comparatice Analysis, Optimization, Optimization Problems

Abstract

Bu çalışma, Parçacık Sürü Optimizasyonu (PSO) ve Yarasa Algoritması (BA) gibi doğadan ilham alan optimizasyon algoritmalarının performanslarını çeşitli test fonksiyonları üzerinde karşılaştırmayı amaçlamaktadır. Analizler, her iki algoritmanın farklı test fonksiyonları üzerindeki performansını değerlendirmektedir. Bulgular, her iki algoritmanın da belirli test fonksiyonları için benzersiz güçlü ve zayıf yönlerine işaret etmektedir. Çalışmada, doğadan ilham alan optimizasyon algoritmalarının optimizasyon problemlerine yönelik etkili çözümler sağlama potansiyelini vurgulamakta ve gelecekteki araştırmalara yol göstermektedir.

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Published

04.08.2024

How to Cite

ışıklı, ibrahim, & Köse, B. (2024). Comparative Analysis of Particle Swarm Optimization and Bat Algorithm on Various Test Functions . Journal of Quantum Technologies and Informatics Research, 2(2). https://doi.org/10.70447/ktve.2459

Issue

Vol. 2 No. 2 (2): Journal of Quantum Technologies and Informatics Research

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Copyright (c) 2024 ibrahim ışıklı- Bayram Köse

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