IEEE Antennas and Wireless Propagation Letters · 2006 · 56 citations · 4 references
ArchitectureComputational DesignComputational EngineeringComputational ElectromagneticsDesign OptimizationEvolutionary DesignAntenna ArraysAntenna DesignAntenna SimulationAntenna SynthesisEvolutionary OptimizationGenetic AlgorithmsAntenna Array DesignAntenna Element Shape OptimizationArray DesignFront-to-back RatioGenetic Algorithm Based DesignGenetic Algorithm OptimizationParticle Swarm OptimizationYagi-uda Antenna Design
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.
4