The linear consecutive-k-out-of-n: failure (good) (Lin/Con/k/n:F(G)) system consists of n interchangeable
components that have different reliabilities. These components are arranged in a line path and different
component assignments change the system reliability. The optimization of Lin/Con/k/n:F(G) system is to find
an optimal component assignment to maximize the system reliability. As the number of components increases, the
computation time for this problem increases considerably. In this paper, we propose a Birnbaum importance-based
ant colony optimization (BIACO) algorithm to obtain quasi optimal assignments for such problems. We compare
its performance using the Birnbaum importance based two-stage approach (BITA) and Birnbaum importancebased
genetic local search (BIGLS) algorithm from previous researches. The experimental results show that the
BIACO algorithm has a good performance in the optimization of Lin/Con/k/n:F(G) system.
WANG Wei (王伟), CAI Zhiqiang (蔡志强), ZHAO Jiangbin (赵江滨), SI Shubin (司书宾)
. Optimization of Linear Consecutive-k-Out-of-n Systems with Birnbaum Importance Based Ant Colony Optimization Algorithm[J]. Journal of Shanghai Jiaotong University(Science), 2020
, 25(2)
: 253
-260
.
DOI: 10.1007/s12204-019-2125-z
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