Advanced search
Publication Cover
Journal of Electromagnetic Waves and Applications Volume 23, 2009 - Issue 5-6
Submit an article Journal homepage
42
Views
11
CrossRef citations to date
0
Altmetric
Articles

On the Use of Random Variables in Particle Swarm Optimizations: A Comparative Study of Gaussian and Uniform Distributions

L. Zhang Center of Applied Electromagnetics Systems Research (CAESR), Department of Electrical Engineering, The University of Mississippi, University, MS 38677, USA
,
F. Yang Center of Applied Electromagnetics Systems Research (CAESR), Department of Electrical Engineering, The University of Mississippi, University, MS 38677, USA
&
A. Z. Elsherbeni Center of Applied Electromagnetics Systems Research (CAESR), Department of Electrical Engineering, The University of Mississippi, University, MS 38677, USA;, Email: [email protected]
Pages 711-721 | Published online: 03 Apr 2012
 
Sample our Physical Sciences journals, sign in here to start your FREE access for 14 days

Abstract

The particle swarm optimization (PSO), now widely used in the electromagnetics community, is a robust evolutionary method based on the property of swarm intelligence. This paper focuses on the random variable effect in the PSO algorithm, and two random distribution functions, namely, the uniform distribution and Gaussian distribution, are studied and compared in details. It is revealed through the statistic analysis that the Gaussian distributed random variables increase the efficiency of the PSO algorithm as compared to the widely used uniformly distributed random variables. This conclusion has been demonstrated through both a mathematical benchmark function and an antenna array optimization.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related Research Data

Development of a New Adaptive Backstepping Control Design for a Non-Strict and Under-Actuated System Based on a PSO Tuner
Source: Multidisciplinary Digital Publishing Institute
Estimation of surface-based duct parameters from automatic identification system using the Levy flight quantum-behaved particle swarm optimization algorithm
Source: Informa UK Limited
A new approach to optimize the signal output power of the intracavity single resonator optical parametric oscillator
Source: Springer Science and Business Media LLC
Particle swarm optimization–based adaptive super-twisting sliding mode control design for 2-degree-of-freedom helicopter:
Source: SAGE Publishing

Linking provided by 

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.