A bat algorithm for the redundancy allocation problem
This article uses a recently developed bat algorithm (BA) meta-heuristic optimization method to solve the reliability redundancy allocation problem (RAP). The RAP is a well-known NP-hard problem which has been the subject of much prior work, generally of a restricted form where each component must c...
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          | Published in | Engineering optimization Vol. 48; no. 5; pp. 900 - 910 | 
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| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Abingdon
          Taylor & Francis
    
        03.05.2016
     Taylor & Francis Ltd  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 0305-215X 1029-0273  | 
| DOI | 10.1080/0305215X.2015.1076402 | 
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| Summary: | This article uses a recently developed bat algorithm (BA) meta-heuristic optimization method to solve the reliability redundancy allocation problem (RAP). The RAP is a well-known NP-hard problem which has been the subject of much prior work, generally of a restricted form where each component must consist of identical components in parallel to make computations tractable. Meta-heuristic methods overcome this limitation and allow for larger instances to be solved for a more general case where different components can be placed in parallel. The BA has not yet been used in reliability design, as it was a method initially designed for continuous problems. A BA is devised and tested on a well-known suite of problems from the literature. It is shown that the BA is competitive with the best known heuristics for redundancy allocation. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23  | 
| ISSN: | 0305-215X 1029-0273  | 
| DOI: | 10.1080/0305215X.2015.1076402 |