Conference paper

WINKLEROVÁ Zdenka. Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm. In: Advances in Swarm Intelligence. 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
Publication language:english
Original title:Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm
Title (cs):Zralost roje částic jako metrika pro měření kolektivní inteligence roje
Pages:40-54
Proceedings:Advances in Swarm Intelligence
Conference:Fourth International Conference on Swarm Intelligence (IC-SI´2013)
Series:LNCS 7928
Place:Heidelberg, DE
Year:2013
URL:http://link.springer.com/chapter/10.1007/978-3-642-38703-6_5
ISBN:978-3-642-38702-9
Journal:Lecture Notes in Computer Science, Vol. 2013, No. 9, DE
ISSN:0302-9743
Publisher:Springer Verlag
Keywords
particle swarm optimization, maturity model, particle swarm collective intelligence
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.
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.
BibTeX:
@INPROCEEDINGS{
   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 = {LNCS 7928},
   journal = {Lecture Notes in Computer Science},
   volume = {2013},
   number = {9},
   year = {2013},
   location = {Heidelberg, DE},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-38702-9},
   ISSN = {0302-9743},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10283}
}

Your IPv4 address: 107.22.126.144
Switch to IPv6 connection

DNSSEC [dnssec]