Multi-objective evolutionary algorithm on reliability redundancy allocation with interval alternatives for system parameters

This paper presents a multi-objective reliability redundancy allocation model with constraints representing the system complexity. A reliability model to enhance the system reliability and to diminish the system cost through a feasible redundancy in its stages is proposed. We develop an evolutionary algorithm using precedence and dominance property to obtain Pareto-optimal solutions guided by a Euclidean norm. An illustration of the model is presented for a series-parallel configuration of an oil transportation subsystem. The results are analyzed for various interval alternatives with randomization in the interval parameter.