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

• Published in: Journal of bionics engineering Vol. 15; no. 4; pp. 751 - 763
• Main Authors: Xu, Liwu, Li, Yuanzheng, Li, Kaicheng, Beng, Gooi Hoay, Jiang, Zhiqiang, Wang, Chao, Liu, Nian
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.07.2018
• Subjects: 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

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...