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J4  2009, Vol. 43 Issue (11): 2023-2027    DOI: 10.3785/j.issn.1008-973X.2009.11.014
自动化技术、计算机技术     
求解偏微分方程反问题的改进基因表达式编程算法
李芳宇,孙守迁,张克俊,董占勋
(浙江大学 计算机科学与技术学院,浙江 杭州 310027)
Improved gene expression programming algorithm for solving inverse problems in partial differential equations
LI Fang-yu, SUN Shou-qian, ZHANG Ke-jun, DONG Zhan-xun
(College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China)
 全文: PDF(581 KB)   HTML
摘要:

为了求解复杂函数反问题,在经典的基因表达式程序设计(GEP)算法基础上,采用锦标赛选择方式和独特的适应值函数来提高算法的收敛速度和效率,并利用正向求解偏微分方程的有限元方法及求解反问题的正则化方法,设计一种基于改进GEP(IGEP)的偏微分方程参数识别反问题的求解算法.对有代表性的微分方程和偏微分方程参数识别问题进行数值实验,结果表明,该算法在运行时间和预测精度上得到了较好的结果,从而验证了IGEP算法的有效性.

Abstract:

An improved gene expression programming (IGEP) algorithm which dealing with the inverse problem of parameter identification of complex function was presented. By constructing a unique fitness function and using tournament selection method, IGEP was proved to be efficient and fast. With finite element method and regularization method, IGEP can easily solve the inverse problem. The simulation for solving parameter identification inverse problems in typical partial differential equations showed that the model found by IGEP is accurate.

出版日期: 2009-11-01
:  TP 391.75  
基金资助:

广东省教育部产学研结合资助项目(2006D90104013);教育部博士点基金资助项目(20050335096).

通讯作者: 孙守迁,男,教授,博导.     E-mail: ssq@mail.hz.zj.cn
作者简介: 李芳宇(1977-),女,江西泰和人,博士生,主要从事工业设计和计算机应用研究.
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引用本文:

李芳宇, 孙守迁, 张克俊, 等. 求解偏微分方程反问题的改进基因表达式编程算法[J]. J4, 2009, 43(11): 2023-2027.

LI Fang-Yu, SUN Shou-Qian, ZHANG Ke-Dun, et al. Improved gene expression programming algorithm for solving inverse problems in partial differential equations. J4, 2009, 43(11): 2023-2027.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2009.11.014        http://www.zjujournals.com/eng/CN/Y2009/V43/I11/2023

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