Wave impedance inversion in coalfield based on immune genetic algorithm

摘要：

Conventional linear wave impedance inversion methods are greatly sensitive to the initial model and nonlinear inversion methods such as GA are easy to be trapped into local optimums. Here we papoose a new immune genetic algorithm (IGA) for wave impedance inversion. New operators such as immune mutation, immune selection, population recombination, chaos multiplication and immune renewal are defined and new strategy of dynamic adjustment of antibodies to meet large scale computation of wave impedance inversion put forward. The proposed IGA can overcome the disadvantages of GA on slow convergence, easy to premature, and low precision. The results show that the proposed algorithm is suitable for wave impedance inversion.

关键词： wave impedance inversion genetic algorithm immune genetic algorithm

作者: Nie Ru Yue Jian-hua Deng Shuai-qi Liu Yang-guang

作者单位: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, Jiangs School of School of Resources and Earth Sciences, China University of Mining and Technology, Xuzhou,

会议类型: 国际会议

会议名称: The 6th International Conference on Mining Science & Technology ICMST 2009(第六届国际矿业科学技术大会)

会议地点: 徐州

会议语种:英文

页码: 1-7

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）