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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Bibliographic Details
Published inEngineering optimization Vol. 48; no. 5; pp. 900 - 910
Main Authors Talafuse, T.P., Pohl, E.A.
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 03.05.2016
Taylor & Francis Ltd
Subjects
Algorithms
Allocations
bat algorithm
combinatorial optimization
Computation
Design engineering
Heuristic
Heuristic methods
Optimization
Optimization algorithms
Redundancy
redundancy allocation
Reliability engineering
series-parallel system
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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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ISSN:0305-215X
1029-0273
DOI:10.1080/0305215X.2015.1076402