To increase the reliability of a specific system, using redundant components is a common method which is called redundancy allocation problem (RAP). Some of the RAP studies have focused on k-out-of-n systems. However, all of these studies assumed predetermined active or standby strategies for each subsystem. In this paper, for the first time, we propose a k-out-of-<em...

Data hiding techniques have so far concentrated on adding or modifying irrelevant information in order to hide a message. However, files in widespread use, such as HTML documents, usually exhibit high redundancy levels, caused by code-generation programs. Such redundancy may be removed by means of optimization software. Redundancy removal, if applied selectively, enables information hiding. Thi...

Redundancy allocation problem is one of the most important problem in Reliability area. In this problem the reliability and availability of the systems maximized via allocating redundant components to sub-systems. a systems operates normally in its operational mode but fails in either opened or shorted modes. this paper presents a repairable k_out_of_n systems network model with common cause fa...

Partial redundancy elimination has become a major compiler optimization that subsumes various ad hoc code motion optimizations. However, partial redundancy elimination is extremely conservative, failing to take advantage of many opportunities for optimization. We describe a new formulation of partial redundancy elimination based on a cost-benefit analysis of the flowgraph. Costs and benefits ar...

Systems are damaged due to various disturbances, and the reliability of systems is reduced. Measures improve system resilience need be studied since many still operate normally after suffering damage. In this paper, whole process disturbance recovery considered, a optimization model multi-component proposed. Firstly, assessment method proposed based on reliability, loss used as index. Secondly,...

System reliability analysis and optimization are important to efficiently utilize available resources and to develop an optimal system design architecture. System reliability optimization has been solved by using optimization techniques including meta-heuristics. Meanwhile, the development of meta-heuristics has been an active research field of the reliability optimization wherein the redundanc...