Paper Info
Title
Evolutionary computation at work for the optimization of link state routing protocols.
Abstract
This work explores the optimization of a real-valued parameter, assigned to each network node running the Distributed Exponentially-weighted Flow SpliTting (DEFT) routing protocol, in order to address changes on traffic conditions. This new proposal avoids the need to alter link weights and forwarding paths, by adjusting traffic splitting. In this context, we explore the use of Evolutionary Algorithms both in single and multi-objective optimization problems, to obtain solutions that minimize network's congestion.
Year
DOI
Venue
2017
10.1145/3067695.3076110
GECCO (Companion)
Keywords
Field
DocType
Evolutionary Computation, Traffic Engineering
Link-state routing protocol,Mathematical optimization,Evolutionary algorithm,Computer science,Node (networking),Evolutionary computation,Traffic engineering,Optimization problem,Traffic conditions,Distributed computing,Routing protocol
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Vitor Pereira194.78
Pedro Sousa217425.25
Miguel Rocha32018.26