Redundancy allocation problem of a Multi-State system with Binary-State continuous performance level components

作者：

Highlights：

• Introducing a new concept for BS-CPL components,

• Presenting a modified UGF to calculate the availability of such components,

• Performing a RAP for a series–parallel system of subsystems with such components.

• Adopting GA, PSO, and TLBO meta-heuristics to solve the provided mathematical model,

• Adopting a two-stage algorithm’s parameters tuning for the GA.

摘要

•Introducing a new concept for BS-CPL components,•Presenting a modified UGF to calculate the availability of such components,•Performing a RAP for a series–parallel system of subsystems with such components.•Adopting GA, PSO, and TLBO meta-heuristics to solve the provided mathematical model,•Adopting a two-stage algorithm’s parameters tuning for the GA.

论文关键词：Redundancy allocation problem,Binary-state continuous performance level components,Modified universal generating function,Genetic algorithm, Particle Swarm Optimization,Teaching-Learning-Based Optimization

论文评审过程：Received 20 June 2021, Revised 21 March 2022, Accepted 31 March 2022, Available online 4 April 2022, Version of Record 9 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117161