Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 12
3640-3645

Multi-class algorithm of WOA-SVM using Lévy flight and elite opposition-based learning

He Xiaolong
Zhang Gang
Chen Yuehua
Yang Shangzhi
Faculty of Maritime & Transportation, Ningbo University, Ningbo Zhejiang 315211, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0164

Abstract

Meta-heuristic algorithm-SVM is a typical framework of multi-classification evaluation model, which has important theoretical and practical significance in multi-classification comprehensive decision-making. Therefore, this paper proposed a multi-classification evaluation algorithm of an improved whale optimization algorithm using Lévy flight and elite opposition-based learning SVM(LFEO-BWOA-SVM). It used Lévy flight strategy instead of spiral trajectory strategy to update position information effectively, and could overcome the deficiency of whale optimization algorithm which was easy to fall into local optimization. It introduced the elite opposition-based learning mechanism to increase population diversity and improved the global optimization ability of whale optimization algorithm. The simulation results show that the classification accuracy of LFEO-BWOA-SVM algorithm is 17.84% and 4.51% higher than that of traditional SVM and BP neural network, the accuracy is 98.73%, and the training time is 9.34% and 84.94% shorter than that of standard WOA-SVM and PSO-SVM, respectively. The experimental results show that the optimization ability and convergence speed of LFEO-BWOA-SVM algorithm are obviously improved, and the accuracy and rapidity are good.

Foundation Support

国家自然科学基金资助项目(51675286)
浙江省基础公益研究计划资助项目(GN21C190021)
浙江省重点研发项目(2018C02G2070536)
浙江省自然科学基金资助项目(LY20E050006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0164
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 12
Section: Algorithm Research & Explore
Pages: 3640-3645
Serial Number: 1001-3695(2021)12-020-3640-06

Publish History

[2021-12-05] Printed Article

Cite This Article

何小龙, 张刚, 陈跃华, 等. 融合Lévy飞行和精英反向学习的WOA-SVM多分类算法 [J]. 计算机应用研究, 2021, 38 (12): 3640-3645. (He Xiaolong, Zhang Gang, Chen Yuehua, et al. Multi-class algorithm of WOA-SVM using Lévy flight and elite opposition-based learning [J]. Application Research of Computers, 2021, 38 (12): 3640-3645. )

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  • Application Research of Computers Monthly Journal
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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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