The design of miniature three-element stochastic Yagi-Uda arrays using particle swarm optimization

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Abstract

A fixed grid structure of reduced length is employed to generate three-element miniature stochastic Yagi-Uda arrays. Particle swarm optimization (PSO) is utilized to alter the shape and the element distances for optimum forward gain, good front-to-back ratio, and 2:1 or better voltage standing wave ratio (VSWR). Simulation results of PSO are compared with binary valued genetic algorithm (GA) optimized designs and with a conventional three-element Yagi-Uda array.

Original languageEnglish (US)
Article number863618
Pages (from-to)22-26
Number of pages5
JournalIEEE Antennas and Wireless Propagation Letters
Volume5
Issue number1
DOIs
StatePublished - Dec 1 2006

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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