Ant colony optimization for SONET ring loading problem

被引:0
|
作者
Kim, Sung Soo [1 ]
Kim, Il-Hwan [2 ]
Mani, V. [3 ]
Kim, Hyung Jun [1 ]
机构
[1] Kangwon Natl Univ, Dept Ind Engn, Chunchon 200701, South Korea
[2] Kangwon Natl Univ, Dept Elect & Telecommun Engn, Chunchon 200701, South Korea
[3] Indian Inst Sci, Dept Aerosp Engn, Bangalore 560012, Karnataka, India
关键词
ant colony optimization; load balancing; SONET ring; routing;
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
The SONET ring loading problem is a combinatorial optimization problem and is known to be NP-hard. The meta-heuristic method of ant colony optimization is a method of obtaining best/optimal solution, to NP-hard optimization problems. Hence, in this paper, we present, an ant colony system (ACS) for an effective search of the best/optimal routing of demands under a dynamic environment. Our simulation results show that this methodology is successful in finding the best/optimal routing of demands in a SONET ring. Three strategies A CS with only ranking, A CS with only MMAS, and ACS with both ranking and MMAS are considered. A comparison of these strategies are presented to show the performance of each strategy.
引用
收藏
页码:1617 / 1626
页数:10
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