A Survey of Ant Colony Optimization-Based Approaches to Routing in Computer Networks

被引:8
作者
Janacik, Peter [1 ]
Orfanus, Dalimir [2 ]
Wilke, Adrian [3 ]
机构
[1] Univ Paderborn, Heinz Nixdorf Inst, Warburger Str 100, D-33098 Paderborn, Germany
[2] ABB Corp Res, Oslo, Norway
[3] Univ Paderborn, Paderborn, Germany
来源
FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013) | 2013年
关键词
networks; routing; ant colony optimization; self-organization; bio-inspiration; ALGORITHM;
D O I
10.1109/ISMS.2013.20
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Nature has provided an elegant solution for the routing problem millions of years ago, when ant colonies started to use swarm intelligence to discover food and route it reliably to their formicaries. The approach utilized by ants has several advantages that are also useful in computer networks: complete distribution, load balancing, finding shortest paths with a high probability. Several routing protocols designed for the area of computer networks have made use of this approach, called ant colony optimization. This paper provides first a broad overview of ant colony optimization-based routing protocols, while focusing on four selected approaches in later sections, describing their operation and discussing their properties in detail.
引用
收藏
页码:427 / 432
页数:6
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