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Lukáš Oliva, Viktor Otevřel, Zbyněk Raida
Originální název
Comparison of a Real-Coding Genetic Algorithm and Particle Swarm Optimization on a Band Gap Bandwidth Maximization Problem
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In this paper, two global optimization algorithms, particle swarm optimization (PSO) and mean-adaptive real-coding genetic algorithm (MAD-RCGA) are applied to a problem of optimizing non-traditional dielectric electromagnetic band gap structures (EBG). The problem is formulated in nine dimensions with the goal of finding as large frequency gap between the first and the second TM bands as possible. Maximizing the frequency gap enables to improve properties of planar patch antennas in wide band.
Klíčová slova
Global optimization, Real-coding genetic algorithm, Particle swarm optimization.
Autoři
Rok RIV
2007
Vydáno
14. 5. 2007
Nakladatel
Budapest University of Technology and Economics
Místo
Budapest
Strany od
128
Strany do
258
Strany počet
131
BibTex
@inproceedings{BUT22358, author="Lukáš {Oliva} and Viktor {Otevřel} and Zbyněk {Raida}", title="Comparison of a Real-Coding Genetic Algorithm and Particle Swarm Optimization on a Band Gap Bandwidth Maximization Problem", booktitle="proceedings of Microcoll 2007", year="2007", pages="131", publisher="Budapest University of Technology and Economics", address="Budapest" }