Publication detail

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

Viktor Otevřel, Zbyněk Raida

Original Title

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

English Title

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

Type

journal article - other

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2007

Released

01.06.2007

Pages from

19

Pages to

26

Pages count

8

URL

BibTex


@article{BUT45245,
  author="Viktor {Otevřel} and Zbyněk {Raida}",
  title="Mean-adaptive Real-coding Genetic Algorithm and its Applications to Electromagnetic Optimization (Part Two)",
  annote="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.",
  chapter="45245",
  journal="Radioengineering",
  number="3",
  volume="16",
  year="2007",
  month="june",
  pages="19",
  type="journal article - other"
}