摘要
根据非线性强度高的函数不宜进行线性化处理的原则,分析了传统方法求解非线性回归参数的局限性,提出利用遗传算法的优势,采用均匀设计法来组合遗传算子,进行数值实验,以求解最优回归参数。结果表明:遗传算法不要求好的初始值,其全局搜索能力及鲁棒性均优于传统方式。
On the basis of the principle which the function of high nonlinearity is not appropriate to linearize, the limitation of traditional methods in solving parameters of nonlinear regression estimation is analyzed.A new method based on genetic algorithm is proposed, which adopts uniform design means to combine genetic operator, conduct numerical experiments and then obtain optimal estimation of parameters of regression estimation. The resuits show that there is no need of good initial values of parameters when genetic algorithm is adopted, both the capability of global search and the robustness of genetic algorithms exceed that of traditional algorithms.
出处
《大地测量与地球动力学》
CSCD
北大核心
2008年第1期59-64,共6页
Journal of Geodesy and Geodynamics
关键词
非线性回归
非线性强度
遗传算法
遗传算子
均匀设计
nonlinear regression
non-linearity
genetic algorithm
genetic operator
uniform design
