Adaptive Quantum Genetic Algorithm and Its Application to 1D Magnetotelluric Data

摘要：

Quantum Genetic Algorithm (QGA) has been introduced to the magnetotelluric inverse problem in layered media. Premature convergence has been observed in numerical tests using QGA. Here we incorporate QGA with an adaptive algorithm, which, according to the verification using typical test functions and theoretical layered model, can effectively suppress this phenomenon. The Adaptive Quantum Genetic Algorithm (AQGA) dynamically adjusts the model search space of QGA so that it can adaptively search the optimization model in the iteration process and in turn has a higher search efficiency and results in a better inverse solution.

关键词： adaptive QGA MT Inversion.

作者: FAN Jianke SHI Xueming XIAO Min YANG Guoshi ZHANG Xuhui

作者单位: Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan, China

会议类型: 国际会议

会议名称: The 19th International Workshop on Electromagnetic Induction in the Earth(第十九届国际地球电磁感应学术研讨会)

会议地点: 北京

会议语种:英文

页码: 636-640

在线出版日期: 2008-10-23（万方平台首次上网日期，不代表论文的发表时间）