Numerical Based on Genetic Algorithm and Application of Inverse Problem

摘要：

A new technique is based on Genetic Algorithm (GA) to solve inverse problem of partial differential equation parameter identified is given in the text The original iterated values are obtained through across gene and variance gene of GA,and put the original iterated values in the beginning of the best disturbed iteration method for the inverse problem of partial differential equation parameter identified,then we can get the steady numerical solution of the parameter that need seek for.The results shows that the approximate solution have good astringency and high precision,and can apply broadly.

关键词： Genetic Algorithm (GA) inverse problem partial differential equation the best disturbed iteration method

作者: Yamian Peng Xiujuan Xu Nan Ji Aimin Yang Junhong Ma

作者单位: College of Science,Hebei Polytechnic University ,Tangshan,Hebei,063000 China

会议类型: 国际会议

会议名称: 2008年国际电子商务、工程及科学领域的分布式计算和应用学术研讨会(2008 International Symposium on Distributed Computing and Applications for Business Engineering and Science)

会议地点: 大连

会议语种:英文

页码: 137-141

在线出版日期: 2008-07-27（万方平台首次上网日期，不代表论文的发表时间）