Chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations

This study proposes a novel chaotic quantum behaved particle swarm optimization algorithm for solving nonlinear system of equations. Different chaotic maps are introduced to enhance the effectiveness and robustness of the algorithm. Several benchmark studies are carried out. Logistic map gives the b...

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Bibliographic Details

Published in:	Computers & mathematics with applications (1987) Vol. 68; no. 4; pp. 508 - 530
Main Authors:	Turgut, Oguz Emrah, Turgut, Mert Sinan, Coban, Mustafa Turhan
Format:	Journal Article
Language:	English
Published:	01.08.2014
Subjects:	Algorithms Chaos theory Dynamical systems Mathematical analysis Nonlinear dynamics Robustness Swarm intelligence
ISSN:	0898-1221
Online Access:	Get full text
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