Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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{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"
}