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基于免疫遗传算法解算GPS病态方程
引用本文:屈利娜,任超,许本意,刘源璋,王浩宇.基于免疫遗传算法解算GPS病态方程[J].海洋测绘,2011,31(5):9-11.
作者姓名:屈利娜  任超  许本意  刘源璋  王浩宇
作者单位:桂林理工大学土木与建筑工程学院,广西桂林,541004
基金项目:广西自然科学基金(桂科自0640178); 广西研究生教育创新计划(2010105960816M37)
摘    要:介绍了利用免疫遗传算法解决GPS快速动态定位中法矩阵的病态问题,将其求解问题转化成一个函数优化问题.在遗传算法中加入免疫因子,使在抗体的选择过程中避免了退化现象的发生,提高了算法的整体性能.理论分析和算例结果表明,方法能够有效提高定位效率.

关 键 词:全球定位系统  免疫遗传算法  病态方程  抗体

Solutions of Ill-conditioned GPS Equations Based on Immune Genetic Algorithms
QU Li-n,REN Chao,XU Ben-yi,LIU Yuan-zhang,WANG Hao-yu.Solutions of Ill-conditioned GPS Equations Based on Immune Genetic Algorithms[J].Hydrographic Surveying and Charting,2011,31(5):9-11.
Authors:QU Li-n  REN Chao  XU Ben-yi  LIU Yuan-zhang  WANG Hao-yu
Institution:QU Li-na,REN Chao,XU Ben-yi,LIU Yuan-zhang,WANG Hao-yu(Civil Engineering College of Guilin Technology University,Guilin,Guangxi,541004)
Abstract:Immune genetic algorithm is used for solving ill-conditioned equations of GPS rapid dynamic positioning in this paper,and then it was transformed as a function optimization problem.Joining the immune factors in the genetic algorithms,it avoided the degenerated phenomenon occurrence in the choice process of immune body,and it enhanced the overall performance of the algorithm.The theoretical analysis and the example results indicated that the method can raise the localization efficiency effectively.
Keywords:GPS  immune genetic algorithm  ill-conditioned equations  immune body  
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