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In engineering applications, there are systems that have both newly developed components with optimized reliability parameters and existed components with fixed reliability parameters. The reliability-redundancy allocation problem (RRAP) is raised to solve these cases by simultaneous optimizing components reliability and providing redundant components. However, most of the existed literature does...
Combinational circuits have become more vulnerable to soft errors (SEs) in each CMOS technology generation. Most of the prior studies use hardware redundancy in an attempt to harden the circuits against errors. However, redundancy increases the area and power consumption. Furthermore, the design constraints may not allow adding redundant resources to the final circuit. In this paper, we present a...
Reliability is the measure of the result of the quality of the system over a long run. The reliability-redundancy allocation problem (RRAP) aims to ensure high systems reliability in the presence of optimally redundant systems components. This is one of the most important design considerations for the systems designers. Several researchers have addressed this important issue during last few decades...
The multi-objective optimization for k-out-of-n redundancy allocation problem with multiple k-out-of-n subsystems connected in series considering k impacts the cost function is presented. The design objective is to select multiple components for a subsystem to maximize system reliability and minimize system cost while satisfying system requirement constraints. Mixing of non-identical component types...
During the design phase of a system, evaluation of reliability is one of the most important requirements and questions. Designers try to reliability allocation for each components and subsystems to meet a reliability goal for the main system. Allocating proper reliability value to each component of a complex system is very important and sometimes complicated. Finding a practical method to solve this...
In this paper particle swarm optimization is applied to reliability allocation and optimization problems. Benchmark case examples show the superiority of particle swarm optimization to such problems.
A system reliability optimization approach with multiple k-out-of-n subsystems connected in series is presented. The design objective is to select multiple components to maximize system reliability while satisfying system requirement constraints such as cost and weight. Mixing of non-identical component types is allowed in each subsystem as well as at system level. In practice, different design configurations...
An effective method to provide the required level of reliability and availability is Components redundancy. In this paper redundancy allocation of multi-state series-parallel system is considered which in each of the subsystems at least k-out-of-n components must be working properly since the whole system continues it's working. The goal is finding the optimum combination which satisfies required...
The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliability to maximize the system reliability under some predefined constraints. We can formulate the RAP as a combinatorial problem when just considering the redundancy level, while as a continuous problem when considering the reliability...
Nowadays, as the software systems become increasingly large and complex, the problem of allocating the limited testing-resource during the testing phase has become more and more difficult. In this paper, we propose to solve the testing-resource allocation problem (TRAP) using multi-objective evolutionary algorithms. Specifically, we formulate TRAP as two multi-objective problems. First, we consider...
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