A Comprehensive Review of Archimedes Optimization Algorithm with its Theory, Variants, Hybridization, and Applications
Yazarlar (10)
Yassine Meraihi Université De Boumerdes, Cezayir
Sylia Mekhmoukh Taleb Université De Boumerdes, Cezayir
Bikram Pratim Bhuyan Laboratoire D'ıngénierie Des Systèmes De Versailles, Fransa
Abdelbaki Benayad Université De Boumerdes, Cezayir
Galina Ivanova
University of Rousse, Bulgaristan
University of Rousse, Bulgaristan
Arş. Gör. Musa Dogan Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Elham Tahsın Yasın YASIN Selçuk Üniversitesi, Türkiye
Murat Koklu Selçuk Üniversitesi, Türkiye
Amar Ramdane-Cherif Laboratoire D'ıngénierie Des Systèmes De Versailles, Fransa
Seyedali Mirjalili Torrens University Australia, Avustralya
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Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Archives of Computational Methods in Engineering (Q1) | ||
| Dergi ISSN | 1134-3060 Dergi Bilgileri (2026) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2026 |
| Kabul Tarihi | 27-10-2025 | Yayınlanma Tarihi | 21-11-2025 |
| Cilt / Sayı / Sayfa | 33 / 4 / 5293–5337 | DOI | 10.1007/s11831-025-10451-0 |
| Makale Linki | https://doi.org/10.1007/s11831-025-10451-0 | ||
| UAK Araştırma Alanları |
Bilgi Güvenliği ve Kriptoloji
Görüntü İşleme
Yapay Zeka
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| Özet |
| The Archimedes Optimization Algorithm (AOA) is a recent physics-based metaheuristic inspired by Archimedes’ principle. Since its introduction by Hashim et al. in 2021, it has gained significant attention and has been applied to various real-world optimization problems. Its popularity stems from its simple structure, adaptability, ease of implementation, and satisfactory convergence. This paper presents a comprehensive review of the AOA algorithm, including its modified, multi-objective, and hybrid variants, and examines its applications in several domains such as classification, feature selection, parameter tuning, scheduling, photovoltaic systems, wireless networks, and clustering. The performance of the AOA algorithm is evaluated against some well-known metaheuristic algorithms, including Genetic Algorithm (GA), Differential Evolution (DE), Tabu Search (TS), Firefly Algorithm (FA), Bat Algorithm (BA), Whale … |
| Anahtar Kelimeler |
| Archimedes Optimization | Archimedes Optimization Algorithm | Archimedes |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 3 |
| Scopus | 2 |
| Google Scholar | 7 |