Differentiated meta-PSO methods for array optimization

Stefano Selleri*, Marco Mussetta, Paola Pirinoli, Riccardo E. Zich, Ladislau Matekovits

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)


The particle swarm optimization (PSO) method has been successfully 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. Here few variations over the standard algorithm, referred to as differentiated meta-PSO, aimed to enhance the global search capability, and to improve the algorithm convergence, are introduced. In order to verify their effectiveness the different techniques have been first applied to benchmark test functions and then used for the optimization of a planar array.

Original languageEnglish
Pages (from-to)67-75
Number of pages9
JournalIEEE Transactions on Antennas and Propagation
Issue number1
Publication statusPublished - Jan 2008
Externally publishedYes


  • Arrays
  • Optimization
  • Particle swarm

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