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-  2018 

基于NSGA2算法的ZPW2000A轨道电路维修策略优化研究
Research on optimization of ZPW2000A track circuit maintenance strategy based on NSGA2 algorithm

Keywords: ZPW2000A,维修策略,不交化最小路集,NSGA-II,Pareto非劣解集
ZPW2000A
, maintenance strategy optimization, disjointed minimal paths, NSGA-II, Pareto non-inferior solution set

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Abstract:

针对ZPW2000A轨道电路传统维修的低可靠性和高维修费用问题,提出ZPW2000A维修策略多目标优化模型,对其维修策略进行优化。该模型采用求不交化最小路集方法求ZPW2000A的可靠度;考虑维修活动对系统可靠性和维修费用的影响,推导出ZPW2000A系统可靠度和维修费用表达式。将系统的可靠性和维修费用作为优化目标,采用非劣排序遗传算法(NSGA-II)进行优化计算,为决策者提供多种选择,并与传统方法进行对比,验证了该方法的有效性。
Concerning the problem that the low reliability and high maintenance cost of traditional maintenance of ZPW2000A track circuit, the authors proposed a multi - objective optimization model of ZPW2000A maintenance strategy to optimize the maintenance strategy of ZPW2000A. In this model, the method of disjointed minimal paths was used to obtain the reliability of ZPW2000A. The influence of maintenance activities on system reliability and maintenance cost was taken into account, and the expression of ZPW2000A system reliability and maintenance cost was derived. The reliability and maintenance costs of the ZPW2000A system were considered as optimization objective and the non-inferior ranking genetic algorithm (NSGA-II) was used for calculation. It provides a variety of choices for the decision maker. Compared with the traditional method, the validity of this method was verified

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