American Journal of Operations Research

Volume 7, Issue 2 (March 2017)

ISSN Print: 2160-8830   ISSN Online: 2160-8849

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Ant-Colony Optimization for the System Reliability Problem with Quantity Discounts

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DOI: 10.4236/ajor.2017.72007    1,023 Downloads   1,516 Views   Citations


This research presents an approach based upon ant-colony optimization to address the system reliability problem. For each component of a system, the number of units in parallel needs to be chosen to maximize the reliability for the entire system. As more parallel units are selected, costs increase in a proportional fashion. For this effort, quantity discounts for additional parallel units are considered, and the budget for purchase of parallel units is limited. Ant colony optimization methodology is employed to find an optimal system reliability that satisfies the budget constraint. The methodology is employed for several test problems, and near-optimal solutions are found.

Cite this paper

McMullen, P. (2017) Ant-Colony Optimization for the System Reliability Problem with Quantity Discounts. American Journal of Operations Research, 7, 99-112. doi: 10.4236/ajor.2017.72007.

Cited by

[1] A Hybrid ant Colony Tabu Search Algorithm for Solving Next Release Problems
International Journal of Innovative Technology and Exploring Engineering, 2019
[2] The Evolution of System Reliability Optimization
Reliability Engineering & System Safety, 2018

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