Publication detail

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

WINKLEROVÁ, Z.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original 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.

English 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.

Keywords

particle swarm optimization, maturity model, particle swarm collective intelligence

RIV year

2013

Released

01.06.2013

Publisher

Springer Verlag

Location

Heidelberg

ISBN

978-3-642-38702-9

Book

Advances in Swarm Intelligence

Edition

Lecture Notes in Computer Science

Edition number

NEUVEDEN

Pages from

40

Pages to

54

Pages count

15

URL

Documents

BibTex


@inproceedings{BUT103471,
  author="Zdenka {Winklerová}",
  title="Maturity of the Particle Swarm as a Metric for Measuring the Collective Intelligence of the Swarm",
  annote="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.",
  address="Springer Verlag",
  booktitle="Advances in Swarm Intelligence",
  chapter="103471",
  doi="10.1007/978-3-642-38703-6_5",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  number="9",
  year="2013",
  month="june",
  pages="40--54",
  publisher="Springer Verlag",
  type="conference paper"
}