Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/13324
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dc.contributor.authorLim, Kim Hai.en_US
dc.date.accessioned2008-10-20T07:24:51Z-
dc.date.available2008-10-20T07:24:51Z-
dc.date.copyright1998en_US
dc.date.issued1998en_US
dc.identifier.urihttp://hdl.handle.net/10356/13324-
dc.description.abstractBroadband Integrated Service Digital Network (B-ISDN) opens new eras in network communication. It uses Asynchronous Transfer Mode (ATM) technology to transfer data, voice and video from the source to the destination. In order for the transmitted information to reach the destination with the minimum Quality of Service (QoS), it is important that the appropriate amount of network resources be allocated timely. Resource allocation strategies, such as Medium Term Reconfiguration strategy and Genetic Algorithm were studied by various authors using a 10 nodes ring network as the test bed. While GA performs better in achieving lower Worst Call Blocking Probability (WCBP), its CBP for individual data class is inferior to the Medium Term Reconfiguration strategy. By introducing weighting factors in the fitness function of the GA, its CBP can be further improved. In this study, it was discovered that the GA performs 16.5% better in terms of WCBP than the Medium Term Reconfiguration strategy and the CBP for various data classes is comparable with a difference of only 0.6% under 100% traffic fluctuation.en_US
dc.format.extent87 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineeringen_US
dc.titleApplying genetic algorithms to teletraffic control problemsen_US
dc.typeThesisen_US
dc.contributor.supervisorTan, Chee Wahen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Communication and Network Systems)en_US
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