Deception, blindness and disorientation in particle swarm optimization applied to noisy problems

Particle swarm optimization (PSO) is a population-based algorithm designed to find good solutions to optimization problems. However, if the problems are subject to noise, the quality of its results significantly deteriorates. Previous works have addressed such a deterioration by developing noise mit...

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Veröffentlicht in:	Swarm intelligence Jg. 8; H. 4; S. 247 - 273
Hauptverfasser:	Rada-Vilela, Juan, Johnston, Mark, Zhang, Mengjie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.12.2014
Schlagworte:	Artificial Intelligence Communications Engineering Computer Communication Networks Computer Science Computer Systems Organization and Communication Networks Mathematical and Computational Engineering Networks Local and global certainty Population statistics Equal resampling Particle swarm optimization Noisy optimization problems
ISSN:	1935-3812, 1935-3820
Online-Zugang:	Volltext
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