Anzeige
Erschienen in:
2010 | OriginalPaper | Buchkapitel
Reliability Optimization of Complex Systems Using Genetic Algorithm under Criticality Constraint
verfasst von : Samer Hamed, Belal Ayyoub, Nawal Al-Zabin
Erschienen in: Networked Digital Technologies
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.