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AKILLI SİSTEMLER VE UYGULAMALARI DERGİSİ
JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

A Fast Firefly Algorithm

Hızlı Ateş Böceği Algoritması

How to cite: Akay R, Basturk A. A fast firefly algorithm. Akıllı Sistemler ve Uygulamaları Dergisi (Journal of Intelligent Systems with Applications) 2018; 1(1): 53-56.

Full Text: PDF, in Turkish.

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Title: A Fast Firefly Algorithm

Abstract: In this study, the advantages of the parallel compution paradigms are utilized in a recent optimization algorithm, firefly algorithm. In the proposed implementation, the population is divided into subpopulations and each subpopulation is run on a different processing node. From the results on commonly used benchmark functions, the proposed model enhances the computation cost without comprosing on the solution quality.

Keywords: Global optimization, Firefly algorithm; parallel computing; MPI

Başlık: Hızlı Ateş Böceği Algoritması

Özet: Bu çalışmada, yeni bir optimizasyon algoritması olan ateş böceği algoritmasını hızlandırmak için paralel hesaplama sistemlerinin getirdiği avantajlardan faydalanılmıştır. Gerçekleştirilen modelde popülasyon alt popülasyonlara bölünmüş ve her bir alt popülasyonun farklı bir işlemcide çalışması sağlanmıştır. Yaygın olarak kullanılan bazı test fonksiyonları üzerinde elde edilen sonuçlardan, gerçekleştirilen modelin algoritmanın performansını etkilemeden hızını belirgin bir şekilde arttırdığı görülmüştür.

Anahtar kelimeler: Ateş böceği algoritması; paralel hesaplama; MPI

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