Detail výsledku

Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part Two)

Viktor Otevřel, Zbyněk Raida. Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part Two). Radioengineering, 2007, vol. 16, no. 3, 8 p. ISSN: 1210-2512.
Typ
článek v časopise
Jazyk
anglicky
Autoři
Otevřel Viktor, Ing., Ph.D.
Raida Zbyněk, prof. Dr. Ing., UREL (FEKT)
Abstrakt

In the paper, a novel instance of the real-coding genetic algorithm (RCGA), called the Mean-adaptive real-coding genetic algorithm (MAD-RCGA), is applied along with other RCGAs, to selected problems in microwave technique. The problems include the design of a microstrip dipole, the design of frequency-selective surfaces and the design of a Yagi antenna. The RCGA instances used for optimization represent the state-of-the-art of the contemporary development in this area. Apart from other things, the purpose of this paper is to compare these instances with MAD-RCGA on problems having some technical relevance.

Klíčová slova

Mean-adaptive real-coding genetic algorithm, microstrip dipole, frequency-selective surfaces, Yagi antenna.

URL
Rok
2007
Strany
8
Časopis
Radioengineering, roč. 16, č. 3, ISSN 1210-2512
BibTeX 
@article{BUT45245,
  author="Viktor {Otevřel} and Zbyněk {Raida}",
  title="Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part Two)",
  journal="Radioengineering",
  year="2007",
  volume="16",
  number="3",
  pages="8",
  issn="1210-2512",
  url="http://www.radioeng.cz"
}
Pracoviště
Ústav radioelektroniky (UREL)
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