摘要
针对移动通信场强传播损耗预测中统计模型的精度问题,通过将已有的统计模型转化为目标函数优化问题,提出了一种基于自适应遗传算法的场强传播损耗预测的方法.该方法对自适应遗传算法中的交叉算子和变异算子进行改进,既克服了简单遗传算法中早熟、精度低等问题,又大大提高了搜索速度.将其运用到实际场强传播损耗预测中,实验结果表明该方法不仅收敛速度快,而且显著提高取得全局最优解的能力,在场强传播损耗预测中取得了较好的效果.
By translate statistical model into the objective function optimization problem,a new method of field strength propagation prediction based on adaptive genetic algorithm,aimed at the problem of accuracy of statistical model is put forward. The improved adaptive genetic algorithm was proposed on the basic of the existing adaptive genetic algorithm to improve crossover operator and mutation operator,to avoid the premature problem and the slow convergence of simple genetic algorithm （SGA）. The results presented in the field strength propagation prediction demonstrate that the new genetic algorithm is a superior algorithm.
出处
《微电子学与计算机》
CSCD
北大核心
2010年第11期121-123,127,共4页
Microelectronics & Computer
关键词
自适应遗传算法
传播预测
Hata模型
交叉变异
adaptive genetic algorithm
propagation prediction
Hata model
crossover and mutation
