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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3915

Title: Packet transmission optimisation using Genetic Algorithms
Authors: Withall, Mark S.
Hinde, Chris J.
Stone, R.G.
Cooper, Jason
Keywords: Internet applications
Genetic algorithms
Adaptive control
Issue Date: 2003
Publisher: © Springer
Citation: WITHALL, M.S. ... et al, 2003. Packet transmission optimisation using Genetic Algorithms. IN: Chung, P.W.H., Hinde, C. and Ali, M. (eds.). Developments in applied artificial intelligence : 16th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2003, Loughborough, UK, June 23-26, 2003 : proceedings. Berlin ; New York : Springer, pp. 653-661
Abstract: A Genetic Algorithm (ga) is used to optimise the parameters for a sequence of packets sent over the Internet. Only the parameters that a client machine can change are used and the fitness is based on the delay time returned by the Traceroute program. The ga performance is compared to a fixed packet size with no priority used to assess the status of the network. The ga generally performed to the same level as the control settings but in some cases significant improvements were made.
Description: This is a conference paper. The definitive version is available from: http://www.springerlink.com/
URI: https://dspace.lboro.ac.uk/2134/3915
ISBN: 3540404554
9783540404552
ISSN: 0302-9743
Appears in Collections:Conference Papers (Computer Science)

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