Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

In the research work titled Maturity of the Particle Swarm as a Metric for Measuring the Particle Swarm Intelligence, the cooperative Particle Swarm Optimization algorithms with recpect to a maturity model derived from the Maturity Model of Command and Control operational space and the model of Collaborating Software have been analyzed. Cooperative swarming strategies directly derived from the original version of the algorithm published in 1995 have been studied. It has been concluded that the particle swarm is not mature enough because of the lack of system's awarenes, and that a solution would be some adaptation of particle's behavioural rules so that the particle could use coefficients for updating its velocity whose value would be provided from inside the swarm system, without external control. The true intention of the research is to contribute to a deeper understanding, from which the swarm derives its intelligent behaviour.

Anglický abstrakt

In the research work titled Maturity of the Particle Swarm as a Metric for Measuring the Particle Swarm Intelligence, the cooperative Particle Swarm Optimization algorithms with recpect to a maturity model derived from the Maturity Model of Command and Control operational space and the model of Collaborating Software have been analyzed. Cooperative swarming strategies directly derived from the original version of the algorithm published in 1995 have been studied. It has been concluded that the particle swarm is not mature enough because of the lack of system's awarenes, and that a solution would be some adaptation of particle's behavioural rules so that the particle could use coefficients for updating its velocity whose value would be provided from inside the swarm system, without external control. The true intention of the research is to contribute to a deeper understanding, from which the swarm derives its intelligent behaviour.

BibTex


@inproceedings{BUT91459,
  author="Zdenka {Winklerová}",
  title="Maturity of the Particle Swarm as a Metric for Measuring the Particle Swarm Intelligence",
  annote="In the research work titled Maturity of the Particle Swarm as a Metric for
Measuring the Particle Swarm Intelligence, the cooperative Particle Swarm
Optimization algorithms with recpect to a maturity model derived from the
Maturity Model of Command and Control operational space and the model of
Collaborating Software have been analyzed. Cooperative swarming strategies
directly derived from the original version of the algorithm published in 1995
have been studied. It has been concluded that the particle swarm is not mature
enough because of the lack of system's awarenes, and that a solution would be
some adaptation of particle's behavioural rules so that the particle could use
coefficients for updating its velocity whose value would be provided from inside
the swarm system, without external control. The true intention of the research is
to contribute to a deeper understanding, from which the swarm derives its
intelligent behaviour.",
  address="Springer Verlag",
  booktitle="ANTS 2012",
  chapter="91459",
  doi="10.1007/978-3-642-32649-3",
  edition="Lecture Notes in Computer Science",
  howpublished="print",
  institution="Springer Verlag",
  number="6",
  year="2012",
  month="june",
  pages="348--349",
  publisher="Springer Verlag",
  type="conference paper"
}