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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2015 Latin American Computing Conference (CLEI) s. 1 - 10
Hlavní autoři: Arteta, Adolfo, Pinto-Roa, Diego P.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2015
Témata:
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
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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