节点文献
基于遗传算法的一种Tikhonov正则化改进方法
A KIND OF MODIFIED TIKHONOV REGULARIZATION METHOD BASED ON GENETIC ALGORITHMS
【摘要】 就Tikhonov正则化方法求解第一类算子方程进行了新的探讨,针对展平泛函的极值处理,采用了遗传算法来解决.结合遗传算法的优点,扩大了解决问题的范围.介绍了其基本原理及运算流程,作为此方法的应用,首先对一变截面悬臂梁模型进行截面积反求,另外解决了一个热传导反问题实例,证明了其方法的有效性.
【Abstract】 A kind of Tikhonov Regularization method based on genetic algorithms has been suggested to solve ill-posed inverse problems.Genetic algorithm is adopted to minimize the smoothing functional.The basic principle of the method as well as the process of the technique has been presented.As an application,the cross-section area estimation of the cantilever beam and heat conduction inverse problem is presented to demonstrate the efficiency of the method.
【关键词】 正则化;
不适定性问题;
反问题;
遗传算法;
【Key words】 regularization; ill-posed problem; inverse problem; genetic algorithms;
【Key words】 regularization; ill-posed problem; inverse problem; genetic algorithms;
【基金】 2004年度新世纪优秀人才计划(NCET-04-0766);自然基金项目(10572048);国家自然科学基金重点项目(60635020)资助
- 【文献出处】 固体力学学报 ,Acta Mechanica Solida Sinica , 编辑部邮箱 ,2006年S1期
- 【分类号】O302
- 【被引频次】12
- 【下载频次】362