|
|
The Fitting of Pump’s Cavitation Test Data Based on Genetic Algorithms |
TANG Ping, LI Jin-ban, ZHANG Rong-biao |
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China |
|
|
Abstract In this paper, an improvement of GA is discussed, which uses the floating point representation, elitist model, arithmetic crossover, and non-uniform mutation. The problem of the fitting of pump’s cavitation test data is analysed, and solve it based on the modified GA. In the end, there is a case, compared with the traditional fitting way and the modified GA, to show the method validity.
|
Received: 07 August 2013
|
|
|
|
[1] 周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,1999:32-60[2] 玄光男,程润伟.遗传算法与工程设计[M].北京:科学出版社,2000:1-120[3] 段玉倩,贺家李.遗传算法及其改进[J].电力系统及其自动化学报,1998,10(1):26-29[4] 袁慧梅,郭喜庆.遗传算法的改进[J].中国农业大学学报,1999(2):35-38[5] Michalewicz Z,et al.A Modified Genetic Algorithm for Optimal Control Problems[J].Computers & Mathematics with Applications,1992,23(12):41-45 |
|
|
|