Research Article
An Effective Evolutionary Computational Approach for Routing Optimization in Networks with Shared Risk Link Groups
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@INPROCEEDINGS{10.1007/978-3-642-29157-9_20, author={Xubin Luo and Qing Li}, title={An Effective Evolutionary Computational Approach for Routing Optimization in Networks with Shared Risk Link Groups}, proceedings={Wireless Communications and Applications. First International Conference, ICWCA 2011, Sanya, China, August 1-3, 2011, Revised Selected Papers}, proceedings_a={ICWCA}, year={2012}, month={5}, keywords={routing shared risk link group (SRLG) evolutionary algorithm combined cost}, doi={10.1007/978-3-642-29157-9_20} }- Xubin Luo
Qing Li
Year: 2012
An Effective Evolutionary Computational Approach for Routing Optimization in Networks with Shared Risk Link Groups
ICWCA
Springer
DOI: 10.1007/978-3-642-29157-9_20
Abstract
In this work, we study a routing optimization problem in networks with shared risk link groups (SRLGs). Specifically, a path between a source and a destination is determined such that the combined path cost and the weight of SRLGs to which the links of the path belong is minimized. We develop evolutionary computation based algorithms to solve the problem. The performance of the proposed algorithms is evaluated via extensive simulation and is compared with the solutions obtained by integer linear programming and the heuristic algorithm in [1].
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