Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
799-804

Improved monarch butterfly optimization algorithm based on cross migration and sharing adjustment

Sun Lin1,2
Chen Suisui1
Xu Jiucheng1,2
Wang Zhenhua1
1. College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
2. Engineering Technology Research Center for Computing Intelligence & Data Mining of Henan Province, Xinxiang Henan 453007, China
DOI: 10.19734/j.issn.1001-3695.2018.07.0611

Abstract

In order to solve the problems of the MBO algorithm, such as it is easy to fall into local optimum and the convergence speed is low, this paper proposed an improved MBO algorithm with CSMBO. Firstly, it introduced a dimension-based vertical crossover operation to substitute the original migration operation of MBO, and then generated a cross migration operator. Thus, this operation could improve search ability of MBO algorithm effectively. Secondly, in order to speed up the convergence of MBO algorithm, the sharing adjustment operator with information sharing replaced the original adjustment operator. Finally, this paper utilized the greedy strategy to instead of the elite strategy of MBO, which could reduce one sorting operation and improve the calculation efficiency of MBO algorithm. To evaluate the optimization ability of this CSMBO algorithm, this paper made some experiments on a set of common benchmark functions with 30-dimensions and 50-dimensions. The results show that the proposed CSMBO algorithm has good optimization performance, and outperforms currently available three optimization approaches.

Foundation Support

国家自然科学基金资助项目(61772176,61402153,11601130)
中国博士后科学基金资助项目(2016M602247)
河南省科技创新人才项目(184100510003)
河南省科技攻关项目(182102210362,182102210078)
河南省高校青年骨干教师培养计划项目(2017GGJS041)
河南省自然科学基金资助项目(182300410130,182300410368)
新乡市科技攻关计划项目(CXGG17002)
河南省高等学校重点科研计划项目(14A520069,17A520038,16A520015)
河南师范大学博士科研启动费支持课题(qd15132)
河南师范大学青年科学基金项目(2015QK23)
国家教育部产学合作协同育人项目(201702115008)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0611
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 799-804
Serial Number: 1001-3695(2020)03-034-0799-06

Publish History

[2020-03-05] Printed Article

Cite This Article

孙林, 陈岁岁, 徐久成, 等. 基于交叉迁移和共享调整的改进蝴蝶优化算法 [J]. 计算机应用研究, 2020, 37 (3): 799-804. (Sun Lin, Chen Suisui, Xu Jiucheng, et al. Improved monarch butterfly optimization algorithm based on cross migration and sharing adjustment [J]. Application Research of Computers, 2020, 37 (3): 799-804. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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