MultiObjective robust network design under uncertain traffic an approach based on evolutionary algorithm

Given the importance and complexity of the problem of robust network design, this work, studies the robust network design subject to guarantee certain level of quality of service, so that the reservation of an adjustable bandwidth for each node, the network is not negatively influenced by traffic fr...

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Bibliographic Details
Published in:	2015 Latin American Computing Conference (CLEI) pp. 1 - 10
Main Authors:	Arteta, Adolfo, Pinto-Roa, Diego P.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2015
Subjects:	Computational modeling Context modeling Electronic mail Evolutionary computation fairness hose model Hoses MultiObjective Evolutionary Algorithm MultiObjective Optimization Problem price of robustness Robust network design Robustness Virtual private networks
Online Access:	Get full text
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Summary:	Given the importance and complexity of the problem of robust network design, this work, studies the robust network design subject to guarantee certain level of quality of service, so that the reservation of an adjustable bandwidth for each node, the network is not negatively influenced by traffic from the rest of the network. Therefore a MultiObjective Evolutionary Algorithm (MOEA) is proposed to solve and find the robust network design, inspired by the concept of price of robustness, which simultaneously minimizes the cost of network, inequity traffic and maximizes the traffic service in the worst case scenario. Finally, experimental results show the benefits of the proposed approach to get a set of non-dominated solution on which it can make, a better decision making.
DOI:	10.1109/CLEI.2015.7359980