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A Genetic Algorithm for Reliability Evaluation of a Stochastic-Flow Network with Node Failure
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International Journal of Computer Science and Security (IJCSS)
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Volume:  4    Issue:  6
Pages:  497-610
Publication Date:   January / February
ISSN (Online): 1985-1553
Pages 
528 - 536
Author(s)  
 
Published Date   
08-02-2011 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   Genetic Algorithms, Stochastic-flow Network, System Reliability 
 
 
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The paper presents a genetic algorithm to compute the reliability of a stochastic- flow network in which each arc or node has several capacitis and may fail. I.e. Calculate the system reliability such that the maximum flow is not less than a given demand. The algorithm is based on generating all lower boundary points for the given demand and than the system reliability can be calculated in terms of such points. The proposed algorithm can be used for a network with large number of nodes and links. Also, the paper investigates the problems that are found in the solutions that obtained by using other previous methods. 
 
 
 
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1 yasni
 
 
 
Ahmed younes Hamed : Colleagues
Moatamad Refaat Hassan : Colleagues  
 
 
 
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