Phased-Mission System Reliability Optimization Based on Genetic Algorithm

The Phased-Mission System of large equipment has a complex structure and a high demand for reliability, which is usually achieved by adopting a redundant design for key components to ensure that when a component in the system fails, the backup component can take over the work to ensure the normal operation of the system. In this paper, a reliability optimization method for Phased-Mission System is proposed. Firstly, with the advantage of genetic algorithm in optimization, the redundancy optimization process of the Phased-Mission System under single-objective situation is given; then, the reliability and weight of the system are taken as the constraints, and the minimum cost of the system is taken as the objective function, and the fitness function of the system is constructed based on the penalty function method, and the iterative optimization is carried out by selecting, crossover, and mutation, so that an optimal solution for the structure and configuration of the Phased-Mission System is obtained under the case of the minimum cost. The optimal solution of Phased-Mission System structure with minimum cost is obtained.