A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm

Mustafa SAKA, (Gazi Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
Melih ÇOBAN, (Gazi Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
İbrahim EKE, (Kırıkkale Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Kırıkkale, Türkiye)
Süleyman Sungur TEZCAN, (Gazi Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
Müslüm Cengiz TAPLAMACIOĞLU (Gazi Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü, Ankara, Türkiye)
Turkish Journal of Electrical Engineering and Computer Sciences
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Yıl: 2021 Cilt: 29 Sayı: 4 Sayfa Aralığı: 1908 - 1928 Metin Dili: İngilizce DOI: 10.3906/elk-2004-193 İndeks Tarihi: 23-06-2022

A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm

Öz:
In this paper, a novel hybrid Taguchi-vortex search algorithm (HTVS) is proposed for solving global optimization problems. Taguchi orthogonal approximation and vortex search algorithm (VS) are hybridized in presenting method. In HTVS, orthogonal arrays in the Taguchi method are trained and obtained better solutions are used to find global optima in VS. Thus, HTVS has better relation between exploration and exploitation, and it exhibits more powerful approximation to find global optimum value. Proposed HTVS algorithm is applied to sixteen well-known benchmark optimization test functions with different dimensions. The results are compared with the Taguchi orthogonal array approximation (TOAA), vortex search algorithm, grey wolf optimizer (GWO), sine cosine algorithm (SCA), moth-flame optimization algorithm (MFO), whale optimization algorithm (WOA) and salp swarm algorithm (SSA). In order to compare the effectiveness of HTVS statistically, Wilcoxon signed-rank test (WSRT) is used in this study. Furthermore, HTVS is applied to two different real engineering problems having some constraints (tension/compression spring design and pressure vessel design). All obtained results suggested that HTVS can find optimal or very close to optimal results. Moreover, it has good computational ability and fast convergence behavior as well.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA SAKA M, ÇOBAN M, EKE İ, TEZCAN S, TAPLAMACIOĞLU M (2021). A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. , 1908 - 1928. 10.3906/elk-2004-193
Chicago SAKA Mustafa,ÇOBAN Melih,EKE İbrahim,TEZCAN Süleyman Sungur,TAPLAMACIOĞLU Müslüm Cengiz A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. (2021): 1908 - 1928. 10.3906/elk-2004-193
MLA SAKA Mustafa,ÇOBAN Melih,EKE İbrahim,TEZCAN Süleyman Sungur,TAPLAMACIOĞLU Müslüm Cengiz A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. , 2021, ss.1908 - 1928. 10.3906/elk-2004-193
AMA SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. . 2021; 1908 - 1928. 10.3906/elk-2004-193
Vancouver SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. . 2021; 1908 - 1928. 10.3906/elk-2004-193
IEEE SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M "A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm." , ss.1908 - 1928, 2021. 10.3906/elk-2004-193
ISNAD SAKA, Mustafa vd. "A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm". (2021), 1908-1928. https://doi.org/10.3906/elk-2004-193
APA SAKA M, ÇOBAN M, EKE İ, TEZCAN S, TAPLAMACIOĞLU M (2021). A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. Turkish Journal of Electrical Engineering and Computer Sciences, 29(4), 1908 - 1928. 10.3906/elk-2004-193
Chicago SAKA Mustafa,ÇOBAN Melih,EKE İbrahim,TEZCAN Süleyman Sungur,TAPLAMACIOĞLU Müslüm Cengiz A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. Turkish Journal of Electrical Engineering and Computer Sciences 29, no.4 (2021): 1908 - 1928. 10.3906/elk-2004-193
MLA SAKA Mustafa,ÇOBAN Melih,EKE İbrahim,TEZCAN Süleyman Sungur,TAPLAMACIOĞLU Müslüm Cengiz A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. Turkish Journal of Electrical Engineering and Computer Sciences, vol.29, no.4, 2021, ss.1908 - 1928. 10.3906/elk-2004-193
AMA SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(4): 1908 - 1928. 10.3906/elk-2004-193
Vancouver SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm. Turkish Journal of Electrical Engineering and Computer Sciences. 2021; 29(4): 1908 - 1928. 10.3906/elk-2004-193
IEEE SAKA M,ÇOBAN M,EKE İ,TEZCAN S,TAPLAMACIOĞLU M "A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm." Turkish Journal of Electrical Engineering and Computer Sciences, 29, ss.1908 - 1928, 2021. 10.3906/elk-2004-193
ISNAD SAKA, Mustafa vd. "A novel hybrid global optimization algorithm having training strategy: hybrid Taguchi-vortex search algorithm". Turkish Journal of Electrical Engineering and Computer Sciences 29/4 (2021), 1908-1928. https://doi.org/10.3906/elk-2004-193
Sayfa Oluşturulma Tarihi
23-04-2024 23:29

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