2021/08/18 by Wei‐Chang Yeh, Yeh, Wei-Chang
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC) #Power System Reliability and Maintenance #Reliability and Maintenance Optimization #Software Reliability and Analysis Research
paper · pdf · doi:10.48550/arxiv.2109.13659
openalex publication_date 2021/08/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The traditional (active) reliability redundancy allocation problem (RRAP) is\nused to maximize system reliability by determining the redundancy and\nreliability variables in each subsystem to satisfy the volume, cost, and weight\nconstraints. The RRAP structure is very simple, that is, redundant components\nare parallel in each subsystem, and all subsystems are either connected in\nseries or in a bridge network. Owing to its important and practical\napplications, a novel RRAP, called the general RRAP (GRRAP), is proposed to\nextend the series-parallel structure or bridge network to a more general\nnetwork structure. To solve the proposed novel GRRAP, a new algorithm, called\nthe BAT-SSOA3, used the simplified swarm optimization (SSO) to update\nsolutions, the small-sampling tri-objective orthogonal array (SS3OA) to tune\nthe parameters in the proposed algorithm, the binary-addition-tree algorithm\n(BAT) to calculate the fitness (i.e., reliability) of each solution, and the\npenalty function to force infeasible back to the feasible region. To validate\nthe proposed algorithm, the BAT-SSOA3 is compared with state-of-the-art\nalgorithms, such as, particle swarm optimization (PSO) and SSO, via designed\nexperiments and computational studies.\n