Abstract
Reliability optimization aims at maximizing system reliability and related metrics (e.g. weight and volume) while minimizing the cost required for the improvements of them. Reliability optimization has been an active research domain since the 1960s, with various formulations and solution schemes proposed. In general, the decision variables of the optimization problems are the parameters, which can be used for system reliability improvement. In this chapter, four different types of reliability optimization problems are reviewed. The types are distinguished according to the nature of the decision variables. They are component reliability enhancement, redundancy allocation, component assignment, and maintenance and testing. The chapter also provides basics of commonly-used modelling and solution schemes for reliability optimization problems. These includes mathematical programming and meta-heuristics.
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