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A Pareto based approach with elitist learning strategy for MPLS/GMPS networks
2017
2017 9th Computer Science and Electronic Engineering (CEEC)
Modern telecommunication networks are based on diverse applications that highlighted the status of efficient use of network resources and performance optimization. Various methodologies are developed to address multi-objectives optimization within the traffic engineering of MPLS/ GMPLS networks. However, Pareto based approach can be used to achieve the optimization of multiple conflicting objective functions concurrently. We considered two objective functions such as routing and load balancing
doi:10.1109/ceec.2017.8101602
dblp:conf/ceec/MasoodFG17
fatcat:2u6qicthd5bpjm7n5razgcjhn4