Traffic engineering in multi-service networks based on computational intelligence

被引：0
|
作者：
Pasias, V [1 ]
Karras, D [1 ]
Papademetriou, RC [1 ]
机构：
[1] Univ Portsmouth, Dept Elect & Comp Engn, Portsmouth PO1 2UP, Hants, England
来源：
IWSSIP 2005: PROCEEDINGS OF THE 12TH INTERNATIONAL WORSHOP ON SYSTEMS, SIGNALS & IMAGE PROCESSING | 2005年
关键词：
traffic engineering (TE); quality of service (QoS); best-effort (BE); genetic algorithm; genetic algorithm for numerical optimisation for constraint problems (GENOCOP); heuristic algorithm; constrained simulated annealing; linear programming (LP); Dijkstra's algorithm;
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：
In this paper, three new methods for the solution of the off-line Traffic Engineering problem in multi-service networks based on computational intelligence are presented. In the first method the off-line TE problem is formulated as an optimisation model with linear constraints and then solved using a modified version of the Genetic Algorithm for Numerical Optimisation for Constraint Problems (GENOCOP). Besides, a hybrid method for the solution of the aforementioned problem involving GENOCOP and a heuristic TE algorithm is also provided. In the third method the off-line TE optimisation problem is solved using a special constrained simulated annealing algorithm. The performance of the above methods against a standard optimisation method based on Linear Programming is examined through a series of tests and numerical results are provided.
引用
收藏
页码：151 / 156
页数：6
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