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  2. College of Computing & Informatics (CCI)
  3. CCI Scholarly Publication
Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/9071
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dc.contributor.authorYussof, S.
dc.contributor.authorSee, O.H.
dc.date.accessioned2018-02-21T04:53:22Z-
dc.date.available2018-02-21T04:53:22Z-
dc.date.issued2008
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/9071-
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.
dc.titleThe effect of GA parameters on the performance of GA-based QoS routing algorithm
item.grantfulltextnone-
item.fulltextNo Fulltext-
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