BCS: A Binary Cuckoo Search Algorithm for Feature Selection

被引：0

作者：

Rodrigues, D. ^{[1
]}

Pereira, L. A. M. ^{[1
]}

Almeida, T. N. S. ^{[1
]}

Papa, J. P. ^{[1
]}

Souza, A. N. ^{[2
]}

Ramos, C. C. O. ^{[2
]}

Yang, Xin-She ^{[3
]}

机构：

[1] Univ Estadual Paulista, UNESP, Dept Comp, Sao Paulo, Brazil

[2] Univ Sao Paulo, Dept Elect Engn, Sao Paulo, Brazil

[3] Middlesex Univ, Sch Engn & Informat Sci, London, England

来源：

2013 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2013年

基金：

巴西圣保罗研究基金会;

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Feature selection has been actively pursued in the last years, since to find the most discriminative set of features can enhance the recognition rates and also to make feature extraction faster. In this paper, the propose a new feature selection called Binary Cuckoo Search, which is based on the behavior of cuckoo birds. The experiments were carried out in the context of theft detection in power distribution systems in two datasets obtained from a Brazilian electrical power company, and have demonstrated the robustness of the proposed technique against with several others nature-inspired optimization techniques.

引用

页码：465 / 468

页数：4

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