A learnable genetic algorithm for QoS multicast routing

被引：0

作者：

Feng, XJ ^{[1
]}

Liu, F ^{[1
]}

机构：

[1] Xidian Univ, Comp Sch, Xian 710071, Peoples R China

来源：

2002 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I AND II | 2002年

关键词：

Qos; multicast routing; learnable genetic algorithm; machine learning;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

By improving the conventional genetic algorithm, we put forward a learnable. genetic algorithm combining machine learning and genetic algorithm. The central idea of the algorithm is that it generates new individuals by processes of hypothesis generation and instantiation, rather than by mutation and/or recombination as in conventional genetic algorithms. The algorithm is then used for the bandwidth-delay-constrained least-cost multicast routing problem. The features of this new algorithm are simplicity and effectivity.

引用

页码：73 / 76

页数：4