Abstract
AbstractSelection of redundant resources and optimizing the system reliability to maximization would form a redundancy allocation problem (RAP). The article proposes a formulation for RAP for multi-core system consisting of one instruction cores. The one-shot system model is the reliability model used to derive system reliability expression for the multi-core system considered here. The system reliability expression would be the objective function with non-linear cost constraints is formulated as a non-linear programming problem, or RAP formulation. The one instruction cores (OIC) support conventional larger cores like MIPS core when they fail to execute an instruction. The OICs support to larger cores like MIPS core is highly imprecise in a multi-core scenario. To address impreciseness, interval numbers is introduced, thereby RAP becomes interval- RAP. Interval-RAP is a NP-Hard problem. Two-phase interval-based GA and interval-based PSO is proposed to solve the interval-RAP. Simulation studies illustrate that two-phase interval-based GA and interval-based PSO are fair efficacious in determining superior solutions.KeywordsRedundancy allocation problemGenetic AlgorithmParticle swarm optimizationReliability optimization
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