Numerical examples indicate that the proposed approach performs well for the reliability-redundant allocation design problems considered in this paper.
To increase the reliability of a specific system, using redundant components is a common method which is called redundancy allocation problem (RAP).
The genetic optimum redundancy allocation (GORA) algorithm proposed here is based on a hybrid genetic algorithm and solves the dependability enhancement problem by optimizing the allocation of redundant modules in the nodes.
The traditional redundancy allocation problem (RAP) aims to determine a system structure that strikes an appropriate balance between series and parallel components and that maximizes reliability by using redundant components in parallel, thus satisfying resource consumption constraints.
Redundancy allocation problems (RAP) are an efficient approach for improving system reliability that generally involves the selection of components type and number of redundant components to maximize system reliability under certain constraints.
The use of multiple isozones over the three SF s in this policy reduces redundant MAS allocation compared to that of single isozone over the SF-first and IZ-first policies.
Many table-based algorithms have been proposed for a number of entropy decoders based on VLD because these approaches are known to be fast and have a large redundant memory allocation [16] [19].
The allocation of redundant DOF was done on-line.
In most of studies in terms of allocation of redundant components, it is assumed that the components are either non-repairable or repairable.
A safety critical system requires an automated and optimal allocation of redundant component instances to its existing components, including: 1) the selection of components (locations) on which the redundancy must be applied, 2) how many redundant component instances of varying reliability and cost should be allocated to each selected location.
For one thing, it is the source of a largely redundant and disproportionately large allocation of the world's precious resources to war, militarism and wasteful production of the means of death and destruction.
