Optimal Modular Redundancy Using Hierarchical Genetic Algorithms

This paper proposes a method for modular redundancy optimization in a hierarchical series reliability system. A modular design variable is defined and modular redundancy is allocated to a different hierarchical level. An especially appropriate genetic algorithm, a hierarchical genetic algorithm (HGA), is used to solve the modular redundancy optimization. The results obtained indicate that modular redundancy provides significant advantages when compared with component redundancy. The methodology also indicates that future research may yield significantly superior solutions to technological challenges in designing more fault-tolerant systems that provide improved reliability and lower lifecycle cost.