Abstract
This paper presents an application of Cuckoo Search Algorithm (CSA) for solving reliability optimization problems for a series system. The aim of research is to select hardware from multiple choices for each subsystem to maximize the overall of system reliability and under cost constraints. CSA is a new metaheuristic algorithm inspired from behavior of Cuckoos laid their eggs in the nests of other species with the Lévy flight distribution. The effectiveness of the proposed algorithm has been evaluated with two groups of examples from the existing literature. The computational results show that the CSA has effectively been able to find the global optimal solution.
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