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基于精英遗传算法的GSM网络频点优化设计

王博岩 卢肖 陈洁 张燕平

计算机技术与发展Issue(2):23-27,5.
计算机技术与发展Issue(2):23-27,5.DOI:10.3969/j.issn.1673-629X.2013.03.006

基于精英遗传算法的GSM网络频点优化设计

Design of Frequent Point Optimization of GSM Based on EGA

王博岩 1卢肖 1陈洁 1张燕平1

作者信息

  • 1. 安徽大学 计算机科学与技术学院,安徽 合肥 230039
  • 折叠

摘要

Abstract

By the development of GSM scale,the system needs extensive frequent points,but it's limited to frequency. So it'll become very necessary to solve the problem efficiently which solves the frequent point's allocation. But it's a NP-complete problem. It first gives a nu-merical value interference evaluation model which is comprehensive consideration of the frequency point signal action range and distance, the sector angle,in this model using elite genetic algorithm to optimize the existing GSM network frequency distribution of the city. Ex-perimental results show that the GSM network frequency point optimization design based on elite genetic algorithm has good effect in practical application,the actual evaluation of optimized GSM network efficiency and frequency point distribution condition is superior to the actual situation and the general genetic algorithm.

关键词

GSM网络/基站频点/干扰评价模型/精英遗传算法

Key words

GSM networks/frequent points of sites/interference valuation model/elite genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

王博岩,卢肖,陈洁,张燕平..基于精英遗传算法的GSM网络频点优化设计[J].计算机技术与发展,2013,(2):23-27,5.

基金项目

国家自然科学基金资助项目(61175046) (61175046)

国家特色专业项目(TS11483) (TS11483)

安徽省自然科学基金(11040606M145) (11040606M145)

安徽省高等学校优秀青年人才基金项目(2010SQRL021) (2010SQRL021)

安徽大学大学生科研训练计划(KYXL20110051) (KYXL20110051)

安徽大学大学生创新项目资助课题 ()

计算机技术与发展

OACSTPCD

1673-629X

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