Title :
Hybrid genetic programming with accelerating optimizer for 3D metamaterial design
Author :
Jennifer Rayno;Magdy F. Iskander
Author_Institution :
Hawaii Center for Advanced Communications, University of Hawaii at Manoa, Honolulu, 96822, USA
fDate :
7/1/2015 12:00:00 AM
Abstract :
In this paper, the hybridization of previously developed genetic programming (GP) software with a low-level optimizer, which uses genetic algorithm (GA), is presented. Key variables are selected for low-level optimization of each GP topology. Two low frequency design examples are included, with each covering at least 225-450 MHz. The first design (from the 142nd generation of the original GP software) has 73.4% bandwidth (±90° reflection phase) while being 17.0% thinner than a previously presented design covering this band, whereas the second design (from the 6th generation of the hybrid software) has 68.9% bandwidth and is 25.3% thinner.
Keywords :
"Software","Substrates","Genetic programming","Genetic algorithms","Reflection","Metamaterials","Magnetic materials"
Conference_Titel :
Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2015 IEEE International Symposium on
DOI :
10.1109/APS.2015.7305056