@inproceedings{5f6d40a9f7dd4be483bcdc9a952eb21e,
title = "Performance comparsion among different objective functions in paramter estimation of scattering center",
abstract = "As the advantages of good convergence and less computing time in estimating multiple parameters, genetic algorithm (GA) has been applied to estimate the parameters of the multiple scattering centers. It is found that various objective functions (OF) selected in GA yields different estimation results. The performance comparison among different OFs are investigated in detail, based on which, an optimal OF is suggested according to the specific requirements. To assure the reliability of estimated results, the scattered waves by target to be matched are computed by the full wave numerical method.",
keywords = "genetic algorithm, objective function, parameter estimation, scattering centers",
author = "Li, {Qi Feng} and Guo, {Kun Yi} and Yun Zhai",
note = "Publisher Copyright: {\textcopyright} 2017 Applied Computational Electromagnetics Society.; 2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017 ; Conference date: 01-08-2017 Through 04-08-2017",
year = "2017",
month = sep,
day = "26",
language = "English",
series = "2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2017",
address = "United States",
}