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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Bibliographic Details

Published in:	Swarm intelligence Vol. 8; no. 4; pp. 247 - 273
Main Authors:	Rada-Vilela, Juan, Johnston, Mark, Zhang, Mengjie
Format:	Journal Article
Language:	English
Published:	Boston Springer US 01.12.2014
Subjects:	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 Access:	Get full text
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