Hybrid Binary Bat Algorithm with Cross-Entropy Method for Feature Selection

Feature selection aims to find an optimal subset from a given set of features. As this task can be seen as a challenging combinatorial optimization problem while the classical optimization techniques have some limitations in solving it. In this paper we propose a novel hybrid metaheuristic, improved...

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Bibliographic Details

Published in:	2019 4th International Conference on Control and Robotics Engineering (ICCRE) pp. 165 - 169
Main Authors:	Li, Guocheng, Le, Chengyi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.04.2019
Subjects:	bat algorithm Classification algorithms co-evolution cross-entropy method Entropy Feature extraction feature selection Genetic algorithms hybrid optimization Optimization Sociology Statistics
Online Access:	Get full text
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