Moth-flame Optimization Algorithm Based on Chaotic Initialization and Gaussian Mutation

Moth-flame optimization algorithm (MFO) has some drawbacks in solving optimization problems, such as low precision and high possibility of being trapped in local optimum. A modified MFO algorithm based on chaotic initialization and Gaussian mutation is proposed. Firstly, the cube chaotic map is used...

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Autors principals:	Liu Qian, Feng Yanhong, Chen Yingying
Format:	Artigo
Idioma:	Chinês
Publicat:	Editorial Office of Journal of Zhengzhou University (Engineering Science) 2021-05-01
Col·lecció:	Zhengzhou Daxue xuebao. Gongxue ban
Matèries:	chaotic initialization gaussian mutation archimedes curve moth-flame optimization algorithm swarm intelligence
Accés en línia:	http://gxb.zzu.edu.cn/Upload/PaperUpLoad/ec498413-3e97-4362-b430-b215880288de.pdf
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