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Viktor Otevřel, Lukáš Oliva, Zbyněk Raida
Original Title
Comparison of real-coding genetic algorithm with particle swarm optimization on the bandgap bandwidth maximization problem
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
In this paper, two global optimization algorithms, particle swarm optimization (PSO) and meanadaptive real-coding genetic algorithm (MAD-RCGA), are applied to a problem of optimization of non-traditional dielectric Electromagnetic Bandgap Structures (EBG). The problem is formulated in nine dimensions with the goal of finding as large frequency gap between the eight lowest TM bands as possible. Maximizing the frequency gap enables to improve properties of planar patch antenas in wide band.
English abstract
Keywords
Global optimization, Real-coding genetic algorithm, Particle swarm optimization.
Key words in English
Authors
Released
24.04.2007
Publisher
VUT v Brně
Location
Brno
ISBN
1-4244-0821-0
Book
Proceedings of Radioelektronika 2007
Pages from
655
Pages count
4
BibTex
@inproceedings{BUT22356, author="Viktor {Otevřel} and Lukáš {Oliva}", title="Comparison of real-coding genetic algorithm with particle swarm optimization on the bandgap bandwidth maximization problem", booktitle="Proceedings of Radioelektronika 2007", year="2007", pages="4", publisher="VUT v Brně", address="Brno", isbn="1-4244-0821-0" }