Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm

Peng Di; Yi Fan Xu; Fang Li; Tong Chen

doi:10.4028/www.scientific.net/AMM.631-632.133

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632Reliability Optimization for Multi-State...

Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

133-137

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.133

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Online since:

September 2014

Authors:

Peng Di*, Yi Fan Xu, Fang Li, Tong Chen

Keywords:

Ant Colony Algorithm, Multi-State System, Redundancy Apportionment, Reliability Optimization, Universal Generating Function

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