An Algorithm Based on Monarch Butterfly Optimization with Learning Mechanism and Topological Structure
Zhao, Fuqing1; Du, Songlin1; Tang, Jianxin1; Zhang, Yi2; Ma, Weimin3
2021
会议名称24th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD)
会议录名称PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)
页码85-89
会议日期MAY 05-07, 2021
会议地点Dalian, PEOPLES R CHINA
出版地NEW YORK
出版者IEEE
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.
关键词Monarch butterfly optimizatiom Learning mechanism Topological structure
DOI10.1109/CSCWD49262.2021.9437775
收录类别CPCI-S
语种英语
WOS记录号WOS:000716858200015
引用统计
被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://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
通讯作者Zhao, Fuqing
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
第一作者单位兰州理工大学
通讯作者单位兰州理工大学
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]. NEW YORK:IEEE,2021:85-89.
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