BCS: A Binary Cuckoo Search algorithm for feature selection

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 beh...

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Bibliographic Details
Published in:	2013 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 465 - 468
Main Authors:	Rodrigues, D., Pereira, L. A. M., Almeida, T. N. S., Papa, J. P., Souza, A. N., Ramos, C. C. O., Xin-She Yang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-05-2013
Subjects:	Accuracy Birds Context Optimization Search problems Training Vectors
Online Access:	Get full text
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Summary:	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.
ISBN:	9781467357609 146735760X
ISSN:	0271-4302 2158-1525
DOI:	10.1109/ISCAS.2013.6571881