[1]刘东 丁照宇.基于改进遗传算法的可靠性网络优化设计[J].计算机技术与发展,2007,(01):63-64.
　LIU Dong,DING Zhao-yu.Reliability Optimization for Network Design Based on Improved Genetic Algorithm[J].,2007,(01):63-64.
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基于改进遗传算法的可靠性网络优化设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2007年01期
页码:
63-64
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Reliability Optimization for Network Design Based on Improved Genetic Algorithm
文章编号:
1673-629X（2007）01-0063-02
作者:
刘东1 丁照宇2
[1]成都理工大学信息工程学院[2]成都理工大学网络教育学院
Author(s):
LIU Dong;  DING Zhao-yu
[1]College of Information Engineering, Chengdu University of Technology[2]CoUege of Network Education, Chengdu University of Technology
关键词:
通信网络; 遗传算法; 网络优化; 可靠性约束
Keywords:
communication networks;  genetic algorithm;  network optimization;  reliability
分类号:
TP393.02
文献标志码:
A
摘要:
在可靠性条件约束下，使网络成本最低是网络规划NP—hard问题。从遗传算法的基本原理出发并对其进行改进，分析带有可靠性约束条件的通信网设计中的网络优化问题，这一方法的最大优点是可将其推广到求解一般带有约束的网络优化问题。而且结果表明无论是解的精度还是运算速度遗传算法都优于分枝定界法及其它启发式算法
Abstract:
It is NP - hard problem to find a network topology for a set of nodes whose total link - cost is minimized, subjected to the condition of reliability. Basing on the theorem of genetic algorithm, this paper analyses the problem of design of network optimization with a constraint. This technique is very powerful because the same approach can be extended to solve different types of optimization problems with constraint. Results show that GA can produce better solutions than branch and bound in accuracy and computation time

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备注/Memo

备注/Memo:
刘东（1973-），男，四川绵阳人，硕士，研究方向为网络计算技术；丁照宇，硕士生导师，教授．研究方向为数据库应用
更新日期/Last Update: 1900-01-01