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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Vydané v:	Journal of bionics engineering Ročník 15; číslo 4; s. 751 - 763
Hlavní autori:	Xu, Liwu, Li, Yuanzheng, Li, Kaicheng, Beng, Gooi Hoay, Jiang, Zhiqiang, Wang, Chao, Liu, Nian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Singapore 01.07.2018
Predmet:	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
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