Detail publikace

Optimization of the Particle Swarm Algorithm

CHYTIL, J.

Originální název

Optimization of the Particle Swarm Algorithm

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Particle Swarm Optimization is a swarm intelligence based and stochastic algo- rithm to solve the optimization problem. This paper presents the Multidimensional Particle Swarm algorithm with non-equidistant discrete input data such as E-Series or Renard numbers for circuit design. The authors describe the optimization of this method for different circuit designs, agent recycling, and omission of already computed points. The problem of omission of already computed points is to determinate when it is faster to omit the points than compute them. The personal omission history can be used for agent recycling or trajectory corrections. There is also described effect of recycled agents with corrected parameters on the convergence of optimalization. Parameters corrections are based on the principles of genetic algorithms in the other words inheritance from the best rated agents. System of agents rating is described briey.

Klíčová slova

Particel swarm algoritm, optimization, agent, test functions, Rosenbrock function,

Autoři

CHYTIL, J.

Rok RIV

2014

Vydáno

30. 9. 2014

ISBN

978-1-934142-28-8

Kniha

PIERS 2014 Guangzhou

ISSN

1559-9450

Periodikum

Progress In Electromagnetics

Ročník

2014

Číslo

1

Stát

Spojené státy americké

Strany od

2355

Strany do

2359

Strany počet

5

BibTex

@inproceedings{BUT109255,
  author="Jiří {Chytil}",
  title="Optimization of the Particle Swarm Algorithm",
  booktitle="PIERS 2014 Guangzhou",
  year="2014",
  journal="Progress In Electromagnetics",
  volume="2014",
  number="1",
  pages="2355--2359",
  isbn="978-1-934142-28-8",
  issn="1559-9450"
}