Abstract
Reliability designers often try to achieve highly reliable systems. The issue of reliability optimization of complex (non-series, non-parallel) systems is investigated in this paper. Maximization of system reliability is usually subject to link’s criticality and cost constraints. This is referred to as reliability optimization problem (ROP). A procedure, that determines the maximal reliability of the complex system, is developed and proposed in this paper, with the system links are maximized according to their criticalities. A criticality-based Genetic Algorithm is developed and used to evaluate the optimal reliability of complex systems. It is then employed to reach the optimal solution of such systems by minimizing their total cost, and increasing their overall reliability. Numerical experiments are conducted to show the effectiveness and robustness of the proposed approach when applied to complex systems.
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Hamed, S., Ayyoub, B., Al-Zabin, N. (2010). Reliability Optimization of Complex Systems Using Genetic Algorithm under Criticality Constraint. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14306-9_55
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DOI: https://doi.org/10.1007/978-3-642-14306-9_55
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