Abstract
Reliability-redundancy allocation problems (RRAPs) are optimization models that try to find the optimal number of redundant components and their reliability levels simultaneously. Many studies have been developed to solve RRAPs in recent years. There are some specific RRAP models for various system structures to maximize system reliability subject to cost, volume and weight constraints. Different meta-heuristic algorithms have been used in order to reach the best objective function value. In this study, an investigation is done on imperialist competitive algorithm (ICA) to maximize models for series and bridge systems. ICA is used by adjusting different values to algorithm's parameters. This investigation recognizes which combination is the most suitable for solving the RRAPs by ICA. Each combination has been run for 35 times. Therefore, the combinations are compared by descriptive statistics' measures and analysis of variance (ANOVA). Furthermore, the best obtained solution is compared with the previous studies.
Original language | English |
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Title of host publication | 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015) |
Editors | Songlin Chen, Min Xie |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1041-1045 |
Number of pages | 5 |
ISBN (Print) | 9781467380669 |
DOIs | |
Publication status | Published - 2015 |
Event | IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015 - Singapore, Singapore Duration: 6 Dec 2015 → 9 Dec 2015 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7378213 |
Conference
Conference | IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2015 |
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Abbreviated title | IEEM 2015 |
Country/Territory | Singapore |
City | Singapore |
Period | 6/12/15 → 9/12/15 |
Internet address |
Keywords
- Analysis of variance
- Comparison
- Imperialist competitive algorithm
- Reliability-redundancy allocation problem