The paper proposes a hybrid approach integrating dedicated artificial neural network (ANN) and population learning algorithm (PLA) applied to maximising system reliability under cost and technical feasibility constraints. The paper includes a formulation of the system reliability optimisation (SRO) problem and a description of the dedicated neural network trained by applying the population learning algorithm. A solution to the example SRO problem is shown and results of the computational experiment are presented and discussed.
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