An RNA evolutionary algorithm based on gradient descent for function optimization

The optimization of numerical functions with multiple independent variables was a significant challenge with numerous practical applications in process control systems, data fitting, and engineering designs. Although RNA genetic algorithms offer clear benefits in function optimization, including rap...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of computational design and engineering Jg. 11; H. 4; S. 332 - 357
Hauptverfasser:	Wu, Qiuxuan, Zhao, Zikai, Chen, Mingming, Chi, Xiaoni, Zhang, Botao, Wang, Jian, Zhilenkov, Anton A, Chepinskiy, Sergey A
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Oxford University Press 01.08.2024 한국CDE학회
Schlagworte:	Adaptive algorithms Dung Evolutionary algorithms Genetic algorithms Heuristic methods Independent variables Mutation Operators (mathematics) Optimization Optimization algorithms Process controls Ribonucleic acid RNA 기계공학 RNA-inspired operations heuristic algorithm function optimization adaptive gradient descent mutation operator
ISSN:	2288-5048, 2288-4300, 2288-5048
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!