Variance-based differential evolution algorithm with an optional crossover for data clustering

The differential evolution optimization-based clustering techniques are powerful, robust and more sophisticated than the conventional clustering methods due to their stochastic and heuristic characteristics. Unfortunately, these algorithms suffer from several drawbacks such as the tendency to be tra...

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Bibliographic Details

Published in:	Applied soft computing Vol. 80; pp. 1 - 17
Main Authors:	Alswaitti, Mohammed, Albughdadi, Mohanad, Mat Isa, Nor Ashidi
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2019
Subjects:	Convergence speed Data clustering Differential evolution Exploitation and exploration Optional crossover Switchable mutation Optional crossover Differential evolution Switchable mutation Exploitation and exploration Data clustering Convergence speed
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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