Optimization of real-time reliability redundancy in complex system

Aim. The introduction of the full paper reviews a number of relevant papers in the open literature and then proposes the model and algorithm which we believe are somewhat better than existing ones and which are fully explained in sections 1 and 2 of the full paper. Their core consists of: "A multiobjective optimization model is established according to the requirements of real-time reliability redundancy in complex system, and then is transformed into a super-objective optimization model. To solve this model, the GAG1 heuristic algorithm and Particle Swarm Optimization (PSO) one are explained and analyzed, then a joint algorithm is established based on these two algorithms.". An example model is analyzed with these three algorithms. The calculated results, presented in Tables 2 and 3, and their analysis show preliminarily that our model, which is comprehensive, is indeed somewhat better than existing models, and the joint algorithm is efficient.