Hybrid PSO-GWO algorithm for reliability redundancy allocation problem with Cold Standby Strategy

Reliability allocation for components, redundancy allocation, and reliability redundancy allocation are of great significance for system reliability designing. Generally, standby redundancy gives higher reliability for any system than active redundancy, but standby redundancy has more complex modeling than active redundancy. Cold standby strategy is one of the most consistently applied procedures to accomplish high-reliability necessity, where backups are performed to guarantee that a backup part can take control over the undertaking successfully when the currently working fizzles. Considering the fact that components may fail during the switching process from standby to active, the impact of an imperfect switch is also applied in the system. In this work, a new hybrid GWO-PSO(HPSGWO) algorithm, based on Particle Swarm Optimization (PSO) and Grey Wolf Optimizer (GWO), is presented to solve the cold-standby reliability redundancy allocation problem (RRAP). The RRAP is a popular mixed integer nonlinear programming issue in a system plan that necessitates that the reliability target is set to fulfill the resource utilization requirement. Four contextual analyses are examined to feature the applicability of the proposed algorithm. The outcomes are compared with those obtained from PSO and GWO.