IBDA: Improved Binary Dragonfly Algorithm With Evolutionary Population Dynamics and Adaptive Crossover for Feature Selection

IBDA: Improved Binary Dragonfly Algorithm With Evolutionary Population Dynamics and Adaptive Crossover for Feature Selection

Feature selection is an effective method to eliminate irrelevant, redundant and noisy features, which improves the performance of classification and reduces the computational burden in machine learning. In this paper, an improved binary dragonfly algorithm (IBDA) which extends from the conventional...

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Bibliographic Details
Main Authors: Jiahui Li, Hui Kang, Geng Sun, Tie Feng, Wenqi Li, Wei Zhang, Bai Ji
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Feature selection
classification
bio-inspired computing
dragonfly algorithm
Online Access:https://ieeexplore.ieee.org/document/9113482/

Internet

https://ieeexplore.ieee.org/document/9113482/

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