Application of Adaptive Genetic Algorithms in Field Strength Propagation Prediction

YANG Yun; FENG Ya

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Application of Adaptive Genetic Algorithms in Field Strength Propagation Prediction

更新时间：2026-09-04

- Application of Adaptive Genetic Algorithms in Field Strength Propagation Prediction
- Vol. 27, Issue 11, Pages: 121-123(2010)
- 作者机构：
  
  陕西科技大学机构电气与信息工程学院,陕西,西安,710021
- 作者简介：
- 基金信息：
- DOI：
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- Published：2010
- 稿件说明：
移动端阅览
杨云, 冯亚. 自适应遗传算法在场强传播损耗预测中的应用[J]. 微电子学与计算机, 2010, 27(11): 121-123,127.

YANG Yun, FENG Ya. Application of Adaptive Genetic Algorithms in Field Strength Propagation Prediction[J]. 2010, 27(11): 121-123.
杨云, 冯亚. 自适应遗传算法在场强传播损耗预测中的应用[J]. 微电子学与计算机, 2010, 27(11): 121-123,127. DOI：

YANG Yun, FENG Ya. Application of Adaptive Genetic Algorithms in Field Strength Propagation Prediction[J]. 2010, 27(11): 121-123. DOI：

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.

Abstract

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.

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