Gradient Based Optimization Approach to solve Reliability Allocation System

Abstract

This paper proposes a solution approach to solve the reliability redundancy allocation problem (RRAP) of a series-parallel framework using a Gradient-based optimizer (GBO). In RRAP, the objective is to optimize the total system's reliability considering different nonlinear constraints (cost, volume, weight, etc.) by simultaneously determining the number of redundancies and the component reliabilities of each subsystem. A parameter-free penalty approach allows the proposed GBO based solution algorithm to benefit the approach to investigate within the feasible search space and the nearby achievable area and prevent incompetent solutions. To prove the effectiveness of the presented solution approach, the data of the pharmaceutical plant with the RRAP parameters are used, and the results are obtained. Comparative study indicates0.044% superior performance of proposed GBO approach to Particle Swarm optimization (PSO) basedapproach.