A Differential Evolution Algorithm for CEC 2019 Problems

Year 2023, Volume: 5 Issue: 2, 304 - 311, 27.10.2023

Hatem Dumlu , Gurcan Yavuz

https://doi.org/10.46387/bjesr.1311593

Abstract

In this study, a new algorithm, which is a variant of the Differential Evolution algorithm, is proposed. This variant, which we call KU-DGA, is tested with the CEC 2019. As a result of the test, mean, standard deviation and best values were calculated. Moreover, these results are compared with the CEC 2019 results of WOAmM (Enhanced WOA), WOA (Whale Optimization Algorithm), MFO (Moth-flame Optimization Algorithm), BOA (Butterfly Optimization Algorithm), SCA (Sine Cosine Algorithm) and JAYA algorithms in the literature. As a result, the proposed KU-DGA algorithm outperformed its competitors in seven of the ten functions in CEC 2019 (F3,F4,F5,F6,F7,F8,F9,F10) based on the "average" value. Moreover, based on the "best" value results, it outperformed the competing algorithms by getting the most successful results in seven out of ten functions (F1,F5,F6,F7,F8,F9,F10).

Keywords

Self-Adaptive Differential Evolution Algorithm, CEC 2019, Differential Evolution Algorithm, Optimization

CEC 2019 Problemleri İçin Bir Diferansiyel Gelişim Algoritması

Abstract

Bu çalışmada Diferansiyel Gelişim algoritması varyantı olan yeni bir algoritma önerilmiştir. KU-DGA adını verdiğimiz bu varyant CEC 2019 ölçüt seti ile çalıştırılmış ve ortalama, standart sapma ve en iyi değerleri hesaplanmıştır. Ayrıca bu sonuçlar literatürdeki WOAmM(Genişletilmiş WOA), WOA(Balina Optimizasyon Algoritması), MFO(Güve Alevi Optimizasyon Algoritması), BOA(Kelebek Optimizasyon Algoritması), SCA(Sinüs Kosinüs Algoritması) ve JAYA algoritmalarının CEC 2019 sonuçları ile karşılaştırılmıştır. Sonuç olarak önerilen KU-DGA algoritmasının karşılaştırılan algoritmalara kıyasla “ortalama” değer sonuçları baz alındığında CEC 2019’ da yer alan on fonksiyonun yedisinde (F3,F4,F5,F6,F7,F8,F9,F10) rakiplerini geride bırakmıştır. Ayrıca önerilen varyant “en iyi” değer sonuçları baz alındığında on fonksiyondan yedisinde (F1,F5,F6,F7,F8,F9,F10) en başarılı sonuçları alarak rakip algoritmaları geride bırakmıştır.

Keywords

Kendinden Uyarlamalı Diferansiyel Gelişim Algoritması, CEC 2019, Diferansiyel Gelişim Algoritması, Optimizasyon

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