.png){kind=icon}
返回
Recent network design techniques using evolutionary algorithms
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijpe.2004.05.026.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As social systems based on computer networks are more complicated, the optimization problems in network systems have been drawing the attention of many related researchers. Recently, genetic algorithms (GAs) have achieved a great advancement in related research fields, such as combinatorial optimization, multiobjective optimization, and so on. In this paper, we consider hybrid GAs (called spanning tree-based GAs) for difficult-to-solve network design problems inherent in industrial engineering and computer communication networks, such as degree-constrained minimum spanning tree problems, capacitated minimum spanning tree problems, fixed charge transportation problems, network topological design problems, and so on. (c) 2005 Published by Elsevier B.V.
Keyword:
genetic algorithm (GA)
network design
minimum spanning tree
fixed charge transportation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
10
论文数:
8.0K
被引数:
3.6W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏分享收藏
查看更多内容