Publication detail

Optimization of the Particle Swarm Algorithm

CHYTIL, J.

Original Title

Optimization of the Particle Swarm Algorithm

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

CHYTIL, J.

RIV year

2014

Released

30. 9. 2014

ISBN

978-1-934142-28-8

Book

PIERS 2014 Guangzhou

ISBN

1559-9450

Periodical

Progress In Electromagnetics

Year of study

2014

Number

1

State

United States of America

Pages from

2355

Pages to

2359

Pages count

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"
}