基于进化算法的复杂可靠性系统多目标优化方法

Anuj Kumar, Sangeeta Pant, M. Ram, Akshay Kumar
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引用次数: 0

摘要

处理复杂工程系统可靠性分析中相互冲突的目标一直是一项具有挑战性的任务。在此,我们考虑了一个复杂的可靠性系统,即太空舱生命维持系统(LS3C)的降低成本和提高可靠性两个相互冲突的目标。采用一种新的多目标进化算法MOPSO-CD,根据不同的参数调整得到不同的Pareto最优前沿。仿真结果为决策者提供了各种各样的pof。
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Evolutionary Algorithm-based Approach for Multi-Objective Optimization of a Complex Reliability System
Dealing with the conflicting objectives in reliability analysis of complex engineering systems is always a challenging task. Here, we have taken two conflicting objectives namely reducing cost and increasing the reliability of a complex reliability system named life support system in space capsule (LS3C) into consideration. A novel multi-objective evolutionary algorithm named MOPSO-CD has been employed to get various Pareto Optimal Fronts (POFs) in accordance with different parameter tuning. The simulation results so obtained provide a wide range of varieties of POFs to decision maker (DM).
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