MultiObjective Robust Network Design under Uncertain Traffic. An approach based on Evolutionary Algorithms
Adolfo Arteta$^{1}$, Diego P. Pinto-Roa$^{1}$
$^{1}$Universidad Nacional de Asunción. San Lorenzo Paraguay
email: fitoartt@gmail.com, dpinto@pol.una.py

Schedule:Mon 19th@16:15, Room: D

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 with 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-dominant solutions on which it can make, a better decision.

BibTex

@InProceedings{CLEI-2015:144342,
	author 		= {Adolfo Arteta and Diego P. Pinto-Roa},
	title 		= {MultiObjective Robust Network Design under Uncertain Traffic. An approach based on Evolutionary Algorithms},
	booktitle 	= {2015 XLI Latin American Computing Conference (CLEI)},
	pages 		= {148--157},
	year 		= {2015},
	editor 		= {Hector Cancela and Alex Cuadros-Vargas and Ernesto Cuadros-Vargas},
	address 	= {Arequipa-Peru},
	month 		= {October},
	organization 	= {CLEI},
	publisher 	= {CLEI},
	url 		= {http://clei.org/clei2015/144342},
	isbn 		= {978-1-4673-9143-6},
	}