Enhanced Moth-flame Optimization Based on Cultural Learning and Gaussian Mutation

This paper presents an Enhanced Moth-Flame Optimization (EMFO) technique based on Cultural Learning (CL) and Gaussian Mutation (GM). The mechanism of CL and the operator of GM are incorporated to the original algorithm of Moth-Flame Optimization (MFO). CL plays an important role in the inheritance o...

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Veröffentlicht in:	Journal of bionics engineering Jg. 15; H. 4; S. 751 - 763
Hauptverfasser:	Xu, Liwu, Li, Yuanzheng, Li, Kaicheng, Beng, Gooi Hoay, Jiang, Zhiqiang, Wang, Chao, Liu, Nian
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Singapore 01.07.2018
Schlagworte:	Artificial Intelligence Biochemical Engineering Bioinformatics Biomaterials Biomedical Engineering and Bioengineering Biomedical Engineering/Biotechnology Engineering moth-flame optimization cultural learning benchmark functions bioinspired computing Gaussian mutation
ISSN:	1672-6529, 2543-2141
Online-Zugang:	Volltext
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