An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure

doi:10.1109/CSCWD49262.2021.9437775

	An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure
	Zhao, Fuqing 1; Du, Songlin 1; Tang, Jianxin 1; Zhang, Yi 2; Ma, Weimin 3
	2021
会议日期	MAY 05-07, 2021
会议地点	Dalian, PEOPLES R CHINA
关键词	Monarch butterfly optimizatiom Learning mechanism Topological structure
DOI	10.1109/CSCWD49262.2021.9437775
页码	85-89
英文摘要	In the past decades, various attention has been paid to the global optimization problems. The Monarch Butterfly Optimization (MBO) algorithm is an effective meta-heuristic algorithm for the global optimization problems. However, in the MBO, the diversity of the population is lost in the late iteration. The MBO is easy to trap into the local optima. In this study, an algorithm based on MBO with learning mechanism and topological structure, named LTMBO, is proposed to enhance the ability of exploration and exploitation on the global optimization problems. The learning mechanism is present for the migration operator to increase the speed of the iteration. The topological structure is proposed for the butterfly adjusting operator to improve the diversity of the population. The experimental results demonstrated that the efficiency and significance of the proposed LTMBO algorithm.
会议录	PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
会议录出版者	IEEE
会议录出版地	NEW YORK
语种	英语
WOS记录号	WOS:000716858200015
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/150138]
专题	国际合作处（港澳台办）计算机与通信学院
作者单位	1.Lanzhou Univ Technol, Sch Comp & Commun Technol, Lanzhou 730050, Peoples R China; 2.Xijin Univ, Sch Mech Engn, Xian 710123, Peoples R China; 3.Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Fuqing,Du, Songlin,Tang, Jianxin,et al. An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure[C]. 见:. Dalian, PEOPLES R CHINA. MAY 05-07, 2021.