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Routing Optimization, Quality of Service (QOS), Shortest path, Fitness, Genetic Algorithm (GA), Crossover, Mutation, Open Shortest Path First (OSPF)
Internet reliability and performance is based mostly on the underlying routing protocols. The current traffic load has to be taken into account for computation of paths in routing protocols. Addressing the selection of path, from a known source to destination is the basic aim of this paper. Making use of multipoint crossover and mutation is done for optimum and when required alternate path determination. Network scenario which consists of nodes that are fixed and limited to the known size of topology, comprises the population size. This paper proposes a simple method of calculating the shortest path for a network using Genetic Algorithm (GA), which is capable of giving an efficient, dynamic and consistent solution in spite of, what topology, changes in link and node happen and volume of the network. GA is used in this paper for optimization of routing. It helps us in enhancing the performance of the routers.
Meenakshi Moza, Suresh Kumar, "Improving the Performance of Routing Protocol using Genetic Algorithm", International Journal of Computer Network and Information Security(IJCNIS), Vol.8, No.7, pp.10-16, 2016. DOI:10.5815/ijcnis.2016.07.02
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