Genetic simulated annealing algorithin in the parameter retrieval of light scattering model
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1.
School of Science, Xi'an Polytechnic University, Xi'an 710048, China;
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2.
China Research Institute of Radio Wave Propagation, Qingdao 266107, China
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Received Date:
2007-10-30
Accepted Date:
2008-07-08
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Abstract
In order to study iteration searching properties of genetic simulated annealing algorithm (GSAA) parameters in bidirectional reflectance distribution, function (BRDF) model, GSAA and genetic algorithm(GA) were employed, respectively, to search iteratively parameters of BRDF model for several media.The retrieved results of the two algorithms were compared with the BRDF experimental data at a certain laser wavelength.By theoretically analyzing and experimentally demonstrating, fitting values for both the algorithms were obtained, which were consistent with experimental values very well.Meanwhile, the difference of iteration number,computation time and mean square error in both the algorithms was compared.The results show that, the BRDF experimental data can be retrieved satisfactorily using both GSAA and GA, and the former is better than the latter.The aforementioned results are of help to the study of iteration searching properties of algorithms.
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