Ant colony algorithm to reliability optimization in Complex System

Author(s):  
Shi-Juan Cheng
2014 ◽  
Vol 631-632 ◽  
pp. 133-137 ◽  
Author(s):  
Peng Di ◽  
Yi Fan Xu ◽  
Fang Li ◽  
Tong Chen

In this paper, an algorithm based ant colony approach (ACA) is designed to find the optimal configuration for redundancy apportionment problem (RAP) of series-parallel multi-state system (MSS). In order to achieve maximum system reliability under cost and performance constraints, the algorithm takes advantage of ACA’s combinatorial optimization, uses heuristic information about reliability to arrange components from available choice. Different from traditional nominal performance and reliability system, universal generating function (UGF) is introduced and used to estimate the multi-state system reliability. Finally the experiment has shown that the presented algorithm can provide optimal and near optimal solutions, and have efficient and convenient calculation performance.


2005 ◽  
Vol 76 (1-3) ◽  
pp. 1-8 ◽  
Author(s):  
R. Meziane ◽  
Y. Massim ◽  
A. Zeblah ◽  
A. Ghoraf ◽  
R. Rahli

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