Moth–flame optimization algorithm: variants and applications

This paper thoroughly presents a comprehensive review of the so-called moth–flame optimization (MFO) and analyzes its main characteristics. MFO is considered one of the promising metaheuristic algorithms and successfully applied in various optimization problems in a wide range of fields, such as pow...

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Veröffentlicht in:	Neural computing & applications Jg. 32; H. 14; S. 9859 - 9884
Hauptverfasser:	Shehab, Mohammad, Abualigah, Laith, Al Hamad, Husam, Alabool, Hamzeh, Alshinwan, Mohammad, Khasawneh, Ahmad M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.07.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Clustering Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data mining Data Mining and Knowledge Discovery Design engineering Heuristic methods Image processing Image Processing and Computer Vision Optimization Power dispatch Probability and Statistics in Computer Science Review Article Moth–flame optimization Variants of MFO Optimization problems Metaheuristic algorithms
ISSN:	0941-0643, 1433-3058
Online-Zugang:	Volltext
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