Parametric analysis of flux creep-flow model by using genetic algorithm
- 作者：J. Minami ; T. Edamoto ; K. Uryu ; T. Ishibashi ; E.S. Otabe ; otabe@cse.kyutech.ac.jp ; M. Kiuchi
- 关键词：genetic algorithm (GA) ; flux creep-flow model ; E-J characteristics ; cuprate high temperature superconductor
- 刊名：Physics Procedia
- 出版年：2012
- 期刊代码：P128_18753892
- 类别：ph
- 出版时间：2012
- 卷：27
- 期：Complete
- 页码：244-247
- 文件大小：258 K
摘要
The pinning parameters for numerical calculation based on the flux creep-flow model are determined by using genetic algorithm (GA), which has been applied to many practical determination for parameters. Several estimation functions which describe the distance between the experimental and calculated results by GA were proposed, and the difference between the results were calculated. It is found that the pinning parameters of the flux creep-flow model are successfully deduced by GA. The difference between the calculated and experimental results and the calculation time are found to be largely depended on the estimation functions.