Performance assessment of meta-PSO on EM optimization problems

S. Selleri*, M. Mussetta, P. Pirinoli, R. E. Zich, Ladislau Matekovits

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Meta-PSO has been recently developed as an enhancement of the Particle Swarm Optimization (PSO) method and it has been proposed to be applied to different electromagnetic optimization problems. Because of the complexity of this kind of problems, the associated cost function is in general computationally expensive. A fast convergence of the optimization algorithm is hence required to attain results in short time. The variations proposed over the standard algorithm, referred to as Undifferentiated and Differentiated Meta-PSO, aimed to enhance the global search capability, and to improve the algorithm convergence, are introduced. In order to assess their effectiveness, the different techniques have been applied the optimization of a planar array.

Original languageEnglish
Title of host publicationHUT-ICCE 2008 - 2nd International Conference on Communications and Electronics
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages370-373
Number of pages4
ISBN (Electronic)9781424424269
ISBN (Print)9781424424252
DOIs
Publication statusPublished - 2008
EventHUT-ICCE 2008 - 2nd International Conference on Communications and Electronics - Hoi an, Viet Nam
Duration: 4 Jun 20086 Jun 2008

Other

OtherHUT-ICCE 2008 - 2nd International Conference on Communications and Electronics
CountryViet Nam
CityHoi an
Period4/06/086/06/08

Keywords

  • Arrays
  • Optimization
  • Particle swarm

Fingerprint Dive into the research topics of 'Performance assessment of meta-PSO on EM optimization problems'. Together they form a unique fingerprint.

Cite this