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

页码：151 / 156

页数：6

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