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《Chinese Journal of Geophysics》 2000-01
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MULTISCALE GENETIC ALGORITHM AND ITS APPLICATION IN MAGNETOTELLURIC SOUNDING DATA INVERSION

SHI XUE-MING; WANG JIA-YING; ZHANG SHE-YE; HU XIANG-YUN(Geophysics Department, China Universing of Geosciences, Wuhan 430074, China)  
Multiscale genetic algorithm (MGA) is proposed in mis paper bycombining multiscale inversion (MI) with genetic algorithm (GA) The new efficientalgorithm circumvents the problems of 'genehc drift' and premature convergenceexisting in classic genetic algorithm, which searches from a randomly chosenpopulation of models and work with binary code of the model parameter set. Byrepeating the GA ophndzation procedure for several times with different binary modelparameter code controlled by multiscale model space, we derive a very good subset ofmodels from the entire model space. The inversion results of synthetic and fieldmagnetotelluric sounding data indicate that MGA enhances the global convergence andimproves the convergence velocity.
【Fund】: 国家自然科学基金!49674227
【CateGory Index】: P319.1
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