Abstract
The network performance and cost of many network services must be compared when end-user visit the content provided by content service under the certain QoS constraints in multi-service network. In this paper, the delay and cost between any two nodes of network is set to be random variables. The minimum model with expectation of cost and delay value is presented in a stochastic network. The optimal solution of mobile agent route from service provider to content service provider is computed and using genetic algorithms. In a case scenarios of data simulation, the result obtained show operation effectiveness of the above approach.
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Hou, J., Wang, F., Huang, D. (2007). The Network Optimal Problem Based on Genetic Algorithm. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_122
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DOI: https://doi.org/10.1007/978-3-540-74282-1_122
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74281-4
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