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Publisher: Ieice-inst Electronics information Communications EngSubject: genetic algorithm

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Now showing 1 - 2 of 2
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    Article
    Citation - WoS: 4
    Citation - Scopus: 4
    Genetic Algorithm Approach To Estimate Radar Cross Section of Dielectric Objects
    (Ieice-inst Electronics information Communications Eng, 2003) Aydin, E; Nakiboglu, KC; Department of Electrical & Electronics Engineering
    Genetic algorithm (GA) is a widely used numerical technique to simplify some analytical solutions in electromagnetic theory. Genetic algorithms can be combined with the geometric optics method to tackle electromagnetic scattering problems. This paper presents an extrapolation procedure, which derived, as a first step, a functional representation of the radar cross section (RCS) of three different dielectric objects that was computed via the Mie solution or the method of moments (MOM). An algorithm was employed to fit the scattering characteristics of dielectric objects at high frequencies.
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    Article
    A New Model for Indoor Propagation Prediction Using Genetic Algorithm
    (Ieice-inst Electronics information Communications Eng, 2008) Aydin, Elif
    In this study, a new, simple and accurate computation of the received signal strength (RSS) level for indoor environment is performed. The genetic algorithm (GA) approach is used for prediction of the RSS. The proposed model is formed on the knowledge of measurements without requiring any detail of the environment. The model provides a time efficient method to estimate RSS dynamically at any location in the test environment. The accuracy of the measurement results and the genetic algorithm approach are presented for three distinct transmitters located at different positions.