A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection | |
Honghao Zhu; MengChu Zhou; Yu Xie; Aiiad Albeshri | |
刊名 | IEEE/CAA Journal of Automatica Sinica |
2024 | |
卷号 | 11期号:2页码:377-390 |
关键词 | Credit card fraud detection (CCFD) dandelion algorithm (DA) feature selection normal sowing operator |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2023.124008 |
英文摘要 | A dandelion algorithm (DA) is a recently developed intelligent optimization algorithm for function optimization problems. Many of its parameters need to be set by experience in DA, which might not be appropriate for all optimization problems. A self-adapting and efficient dandelion algorithm is proposed in this work to lower the number of DA’s parameters and simplify DA’s structure. Only the normal sowing operator is retained; while the other operators are discarded. An adaptive seeding radius strategy is designed for the core dandelion. The results show that the proposed algorithm achieves better performance on the standard test functions with less time consumption than its competitive peers. In addition, the proposed algorithm is applied to feature selection for credit card fraud detection (CCFD), and the results indicate that it can obtain higher classification and detection performance than the-state-of-the-art methods. |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/54549] |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Honghao Zhu,MengChu Zhou,Yu Xie,et al. A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(2):377-390. |
APA | Honghao Zhu,MengChu Zhou,Yu Xie,&Aiiad Albeshri.(2024).A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection.IEEE/CAA Journal of Automatica Sinica,11(2),377-390. |
MLA | Honghao Zhu,et al."A Self-Adapting and Efficient Dandelion Algorithm and Its Application to Feature Selection for Credit Card Fraud Detection".IEEE/CAA Journal of Automatica Sinica 11.2(2024):377-390. |
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