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Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm

WINKLEROVÁ Zdenka. Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm. In: Advances in Swarm Intelligence. Lecture Notes in Computer Science, vol. 7928. Heidelberg: Springer Verlag, 2013, pp. 40-54. ISBN 978-3-642-38702-9. ISSN 0302-9743. Available from: http://link.springer.com/chapter/10.1007/978-3-642-38703-6_5
Czech title
Zralost roje částic jako metrika pro měření kolektivní inteligence roje
Type
conference paper
Language
english
Authors
Winklerová Zdenka, Ing. (DITS FIT BUT)
URL
Keywords
particle swarm optimization, maturity model, particle swarm collective intelligence
Abstract
The particle swarm collective intelligence has been recognized as a tool for dealing with the optimization of multimodal functions with many local optima. In this article, a research work is introduced in which the cooperative Particle Swarm Optimization strategies are analysed and the collective intelligence of the particle swarm is assessed according to the proposed Maturity Model. The model is derived from the Maturity Model of C2 (Command and Control) operational space and the model of Collaborating Software. The aim was to gain a more thorough explanation of how the intelligent behaviour of the particle swarm emerges. It has been concluded that the swarm system is not mature enough because of the lack of the systems awareness, and that a solution would be some adaptation of particles behavioural rules so that the particle could adjust its velocity using control parameters whose value would be derived from inside of the swarm system, without tuning.
Annotation
The particle swarm collective intelligence has been recognized as a tool for dealing with the optimization of multimodal functions with many local optima. In this article, a research work is introduced in which the cooperative Particle Swarm Optimization strategies are analysed and the collective intelligence of the particle swarm is assessed according to the proposed Maturity Model. The model is derived from the Maturity Model of C2 (Command and Control) operational space and the model of Collaborating Software. The aim was to gain a more thorough explanation of how the intelligent behaviour of the particle swarm emerges. It has been concluded that the swarm system is not mature enough because of the lack of the systems awareness, and that a solution would be some adaptation of particles behavioural rules so that the particle could adjust its velocity using control parameters whose value would be derived from inside of the swarm system, without tuning.
Published
2013
Pages
40-54
Journal
Lecture Notes in Computer Science, vol. 7928, no. 9, ISSN 0302-9743
Proceedings
Advances in Swarm Intelligence
Series
Lecture Notes in Computer Science
Conference
Fourth International Conference on Swarm Intelligence (IC-SI´2013), Harbin, Čína, CN
ISBN
978-3-642-38702-9
Publisher
Springer Verlag
Place
Heidelberg, DE
DOI
BibTeX
@INPROCEEDINGS{FITPUB10283,
   author = "Zdenka Winklerov\'{a}",
   title = "Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm",
   pages = "40--54",
   booktitle = "Advances in Swarm Intelligence",
   series = "Lecture Notes in Computer Science",
   journal = "Lecture Notes in Computer Science",
   volume = 7928,
   number = 9,
   year = 2013,
   location = "Heidelberg, DE",
   publisher = "Springer Verlag",
   ISBN = "978-3-642-38702-9",
   ISSN = "0302-9743",
   doi = "10.1007/978-3-642-38703-6\_5",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10283"
}
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