標題: A Monte Carlo Method for Estimating the Extended All-terminal Reliability
作者: Huang, Shiang-Ming
Wu, Quincy
Tsai, Shi-Chun
資訊工程學系
Department of Computer Science
公開日期: 2008
摘要: Designing a network with optimal deployment cost and maximum reliability considerations is a hard problem, especially when the all-terminal reliability is required. For efficiently finding out an acceptable solution, Genetic Algorithms (GAs) have been widely applied to solve this problem. In these GAs, the reliability values could be calculated in their objective functions. In year 2002, an extended network reliability model was proposed which considers the connection important level between each pair of nodes. This paper proposes an approximation algorithm based on Monte Carlo simulation for the new network reliability model. This approximation algorithm can be integrated into GAs to solve the optimal cost reliable network design problem under the extended model.
URI: http://hdl.handle.net/11536/663
http://dx.doi.org/10.1109/ICNS.2008.29
ISBN: 978-1-4244-4231-7
DOI: 10.1109/ICNS.2008.29
期刊: FOURTH INTERNATIONAL CONFERENCE ON NETWORKING AND SERVICES (ICNS 2008), PROCEEDINGS
起始頁: 122
結束頁: 127
Appears in Collections:Conferences Paper


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