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 CAC1 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.%根据系统实时可靠性优化设计的需求,在现有优化模型基础上,选取系统工作过程中三个时刻的可靠度为优化目标,建立了多目标优化模型,并将其转化为超目标优化模型.提出GAG1启发式算法和粒子群算法的联合算法用以求解模型.算例结果表明了该模型考虑问题的全面性以及联合算法的有效性.
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