Unifying optimization forces: Harnessing the fine-structure constant in an electromagnetic-gravity optimization framework
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Walter de gruyter gmbh
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
The electromagnetic-gravity optimization (EMGO) framework is a novel optimization technique that integrates the fine-structure constant and leverages electromagnetism and gravity principles to achieve efficient and robust optimization solutions. Through comprehensive performance evaluation and comparative analyses against state-of-the-art optimization techniques, EMGO demonstrates superior convergence speed and solution quality. Its unique balance between exploration and exploitation, enabled by the interplay of electromagnetic and gravity forces, makes it a powerful tool for finding optimal or near-optimal solutions in complex problem landscapes. The research contributes by introducing EMGO as a promising optimization approach with diverse applications in engineering, decision support systems, machine learning, data mining, and financial optimization. EMGO's potential to revolutionize optimization methodologies, handle real-world problems effectively, and balance global exploration and local exploitation establishes its significance. Future research opportunities include exploring adaptive mechanisms, hybrid approaches, handling high-dimensional problems, and integrating machine learning techniques to enhance its capabilities further. EMGO gives a novel approach to optimization, and its efficacy, advantages, and potential for extensive adoption open new paths for advancing optimization in many scientific, engineering, and real-world domains.
Açıklama
Anahtar Kelimeler
Convergence Speed, Electromagnetism, Fine-Structure Constant, Gravity, Optimization Technique
Kaynak
Journal of intelligent systems
WoS Q Değeri
N/A
Scopus Q Değeri
Q2
Cilt
33
Sayı
1
Künye
Akhtar, M. A. K., Kumar, M., Verma, S., Cengiz, K., Verma, P. K., Khurma, R. A., & Alazab, M. (2024). Unifying optimization forces: Harnessing the fine-structure constant in an electromagnetic-gravity optimization framework. Journal of Intelligent Systems, 33(1), 20230306.
