American Journal of Operations Research

Volume 7, Issue 2 (March 2017)

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

Google-based Impact Factor: 0.84  Citations  

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

HTML  XML Download Download as PDF (Size: 465KB)  PP. 99-112  
DOI: 10.4236/ajor.2017.72007    1,432 Downloads   2,620 Views  Citations

ABSTRACT

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.

Share and Cite:

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] Support Vector Machine-Assisted Importance Sampling for Optimal Reliability Design
Applied Sciences, 2022
[2] A Hybrid ant Colony Tabu Search Algorithm for Solving Next Release Problems
International Journal of Innovative Technology and Exploring Engineering, 2019
[3] The Evolution of System Reliability Optimization
Reliability Engineering & System Safety, 2018

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.