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Genetic Algorithm Application to Making up Economic Maintenance Schedule

机译:遗传算法在经济维护计划编制中的应用

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In order to make up the economic maintenance schedule, the total maintenance cost of all components listed up in the schedule is minimized maintaining reliability of the components by the use of the Genetic Algorithm (GA). The plant operation period of Y years can be represented as an integer array of size Y and the number of components N is represented as number of strings in the GA analysis. The total maintenance cost as the objective function is postulated as summationm of plant outage cost, implementation cost and no implementation cost. The maintenance schedules for the twenty components have been optimized by the GA, and compared with the constant interval schedule and the schedule optimized by the Simulated Annealing (SA) method. About thirty percents cost reduction has been achieved by the GA compared with the constant interval schedule and ten percents cost reduction has been achieved compared with the SA.
机译:为了制定经济的维护计划,使用遗传算法(GA)将维护计划中列出的所有组件的总维护成本降至最低。在GA分析中,Y年的工厂运营期可以表示为大小为Y的整数数组,而组件的数量N可以表示为字符串的数量。假定作为目标函数的总维护成本是工厂中断成本,实施成本和无实施成本的总和。遗传算法已经优化了二十个组件的维护计划,并与恒定间隔计划和通过模拟退火(SA)方法优化的计划进行了比较。与固定间隔计划相比,GA可以将成本降低约30%,与SA相比,可以将成本降低10%。

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