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The effect of GA parameters on the performance of GA-based QoS routing algorithm

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dc.citedby9
dc.contributor.authorYussof S.en_US
dc.contributor.authorSee O.H.en_US
dc.contributor.authorid16023225600en_US
dc.contributor.authorid16023044400en_US
dc.date.accessioned2023-12-29T07:55:09Z
dc.date.available2023-12-29T07:55:09Z
dc.date.issued2008
dc.description.abstractGenetic algorithm (GA) is a powerful search and optimization algorithm inspired by the theory of genetics and natural selection. However, the performance of GA depends largely on the values chosen for the GA parameters. In the previous work, a GA-based QoS routing algorithm for solving the multiconstrained path (MCP) problem has been developed. This paper presents the simulation result of the effect of three GA parameters which are maximum iterations, population size and mutation probability on the developed algorithm. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4631912
dc.identifier.doi10.1109/ITSIM.2008.4631912
dc.identifier.scopus2-s2.0-57349179990
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-57349179990&doi=10.1109%2fITSIM.2008.4631912&partnerID=40&md5=177b5c68c62ee8047aa8c0c5319234f9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30877
dc.identifier.volume3
dc.sourceScopus
dc.sourcetitleProceedings - International Symposium on Information Technology 2008, ITSim
dc.subjectDiesel engines
dc.subjectGenetic algorithms
dc.subjectInformation technology
dc.subjectNetwork routing
dc.subjectPopulation statistics
dc.subjectMulticonstrained path problems
dc.subjectMutation probabilities
dc.subjectNatural selections
dc.subjectOptimization algorithms
dc.subjectPopulation sizes
dc.subjectQoS routing algorithms
dc.subjectSimulation results
dc.subjectRouting algorithms
dc.titleThe effect of GA parameters on the performance of GA-based QoS routing algorithmen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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