Stability and accuracy of retrieving the aerosol size-distribution by using the linear-regression (LR), genetic algorithm (GA), and annealing genetic algorithm (AGA) were studied in detail. It was found that by using the AGA, retrieval results are quite stable and accurate; using the GA, stability and accuracy of the retrieval results decreased mildly but were still acceptable; and using the LR, retrieval results were too unstable to be acceptable. This conclusion is verified by both of the numeric simulation and the experiment.
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References
1.
BockmannC.2001. Hybrid regularization method for the ill-posed inversion of multi-wavelength lidar data in the retrieval of aerosol size distributions. Appl. Opt., 40:1329.
2.
DeshpandeC.G., KamraA.K. 2002. Aerosol size distributions and visibility estimates during the Big Bend regional aerosol and visibility observational (BRAVO) study. Atmos. Environ., 36:5043.
3.
HulstV.D.1957. Light Scattering by Small Particle. New York: Wiley.
4.
KimD.H., AbrahamA., ChoJ.H.2007. A hybrid genetic algorithm and bacterial foraging approach for global optimization. Inform. Sci., 177:3918.
5.
KulkarniP., WangJ.2006. New fast integrated mobility spectrometer for real-time measurement of aerosol size distribution—I: concept and theory. J. Aerosol. Sci., 37:1303.
6.
LekhtmakherS., ShapiroM.2005. About randomness of aerosol size distributions. J. Aerosol. Sci., 36:1459.
7.
MadhaviK.2004. Direct radiative forcing of aerosol over a typical urban environment. Solar Energy, 77:225.
8.
OlfertJ.S., KulkarniP., WangJ.2008. Measuring aerosol size distributions with the fast integrated mobility spectrometer. J. Aerosol. Sci., 39:940.
9.
SunH.2010. Multi-objective optimization for hydraulic hybrid vehicle based on adaptive simulated annealing genetic algorithm. Eng. Appl. Artif. Intel., 23:27.
10.
WangY.F., FanS.F., FengX.2007. Retrieval of the aerosol particle size distribution function by incorporating a priori information. J. Aerosol. Sci., 38:885.
11.
WangY.F.2008. An efficient gradient method for maximum entropy regularizing retrieval of atmospheric aerosol particle size distribution function. J. Aerosol. Sci., 39:305.
12.
YeM., WangS., LuY., HuT., ZhuZ., XuY.1999. Inversion of particle-size distribution from angular light-scattering data with genetic algo- rithms. Appl. Opt., 38:2677.
13.
YuH.M., FangH.P., YaoP.J., YuanY.2000. A combined genetic algorithm/simulatied annealing algorithm for large scale system energy integration. Comput. Chem. Eng., 24:2023.
14.
ZuoH.Y., YangJ.G.2007. Retrieving of aerosol size distribution based on the measurement of aerosol optical depth. Acta. Phys. Sin-Ch. Ed., 56:6132.
