The design of miniature three-element stochastic Yagi-Uda arrays using particle swarm optimization
Z Bayraktar, PL Werner… - IEEE Antennas and …, 2006 - ieeexplore.ieee.org
Z Bayraktar, PL Werner, DH Werner
IEEE Antennas and Wireless Propagation Letters, 2006•ieeexplore.ieee.orgA 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.
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.
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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