A Hybrid Moth Flame Optimization Algorithm for Global Optimization

The Moth Flame Optimization (MFO) algorithm shows decent performance results compared to other meta-heuristic algorithms for tackling non-linear constrained global optimization problems. However, it still suffers from obtaining quality solution and slow convergence speed. On the other hand, the Butt...

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Veröffentlicht in:	Journal of bionics engineering Jg. 19; H. 5; S. 1522 - 1543
Hauptverfasser:	Sahoo, Saroj Kumar, Saha, Apu Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.09.2022
Schlagworte:	Artificial Intelligence Biochemical Engineering Bioinformatics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Engineering Research Article Benchmark functions Friedman rank test Moth flame optimization algorithm Bio-inspired Butterfly optimization algorithm
ISSN:	1672-6529, 2543-2141
Online-Zugang:	Volltext
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