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《Journal of Central South University(Science and Technology)》 2007-01
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A real coded hybrid genetic algorithm in magnetotelluric sounding data inversion

LIU Jian-xin,TONG Xiao-zhong,LI Ai-yong,XU Jian-rong School of Info-physics and Geomatics Engineering,Central South University,Changsha 410083,China  
The inverse problem of MT for 1-D was studied by using a real coded hybrid genetic algorithm,which was based on the combination of simplex method and genetic algorithm.Due to the fact that the standard genetic algorithm has poor local search ability,large amounts of calculation,and adaptability to large space,and that simple method based on local linearization is usually lost in local minimum values,a new method was put forward through a promoted simple operator embedded into genetic algorithm and the strategy was adopted to keep the group of best individuals.The new algorithm has not only the global of genetic algorithm,but also the fast convergence of the simplex algorithm.The inversion results of synthetic magnetotelluric sounding data are ideal,which indicates that the algorithm possesses advantages of expediting convergence,avoiding earliness and improving precision,and can be used in MT data analysis.
【Fund】: 国家“863”高技术项目(863-820-03-04);; 国家自然科学基金资助项目(60672042)
【CateGory Index】: P631.34
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