Detail publikace

Optimization of ventilation network parameters of asynchronous generator by genetic algorithm

Originální název

Optimization of ventilation network parameters of asynchronous generator by genetic algorithm

Anglický název

Optimization of ventilation network parameters of asynchronous generator by genetic algorithm

Jazyk

en

Originální abstrakt

In this paper we present the using of genetic algorithm methods for the parameters identification of asynchronous generator ventilating network. It is a problem of ventilating network design is that many empirical parameters are used. It causes that an experimental measurement and simulation of ventilating network give various results. We used the genetic algorithm for the identification of empirical parameters to optimise simulation results in relation to the experiment.

Anglický abstrakt

In this paper we present the using of genetic algorithm methods for the parameters identification of asynchronous generator ventilating network. It is a problem of ventilating network design is that many empirical parameters are used. It causes that an experimental measurement and simulation of ventilating network give various results. We used the genetic algorithm for the identification of empirical parameters to optimise simulation results in relation to the experiment.

BibTex


@article{BUT40257,
  author="Petr {Krejčí} and Radek {Vlach}",
  title="Optimization of ventilation network parameters of asynchronous generator by genetic algorithm",
  annote="In this paper we present the using of genetic algorithm methods for the parameters identification of asynchronous generator ventilating network. It is a problem of ventilating network design is that many empirical parameters are used. It causes that an experimental measurement and simulation of ventilating network give various results. We used the genetic algorithm for the identification of empirical parameters to optimise simulation results in relation to the experiment.",
  chapter="40257",
  journal="Zeszyty Naukowe Politechniki Slaskej - Elektryka",
  number="05",
  volume="177",
  year="2001",
  month="may",
  pages="45",
  type="journal article"
}