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

Zikri Bayraktar; P. L. Werner; Douglas H. Werner

doi:10.1109/LAWP.2005.863618

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

Zikri Bayraktar
, P. L. Werner
, Douglas H. Werner

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

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 language	English (US)
Article number	863618
Pages (from-to)	22-26
Number of pages	5
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	5
Issue number	1
DOIs	https://doi.org/10.1109/LAWP.2005.863618
State	Published - 2006

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/LAWP.2005.863618

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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.",

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

Abstract

All Science Journal Classification (ASJC) codes

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