The Runge–Kutta Optimization Algorithm: A Comprehensive Survey of Methodology, Variants, Applications, and Performance Evaluation

Leveraging the concepts of the traditional Runge–Kutta method, the Runge–Kutta Optimizer (RUN) is a new meta-heuristic algorithm created for global optimization applications. The RUN method is addressed in this paper along with its mechanisms to optimize search strategies and improve the quality of...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Archives of computational methods in engineering Ročník 32; číslo 8; s. 5075 - 5122
Hlavný autor:	Khurma, Ruba Abu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Springer Nature B.V 01.12.2025
Predmet:	Algorithms Artificial intelligence Bibliometrics Computational mathematics Convergence Corporate sponsorship Decision making Deep learning Design Design engineering Design optimization Effectiveness Exploitation Funding Genetic algorithms Global optimization Heuristic methods Linear programming Machine learning Mathematical functions Methodology Neural networks Numerical analysis Optimization algorithms Optimization techniques Parameter estimation Performance enhancement Performance evaluation Research methodology Runge-Kutta method Search engines
ISSN:	1134-3060, 1886-1784
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!