Based on Pareto rank and penalty function, the multi-objective genetic algorithm is used to solve the flexible-interval preventive maintenance optimization problem. 运用基于Pareto秩和罚函数的多目标遗传算法有效解决了弹性周期预防性维修计划的优化问题。
Preventive maintenance optimization of ENDESA MV underground cables through partial discharges diagnosis 通过局放诊断使ENDESA中压电缆的预防性维修最优化
The preventive maintenance cycle is influenced by factors, such as stable state availability, maintain cost, reliability. This paper adapes multi-objective optimization method to get the preventive maintenance cycle. 预防性维修周期的确定需要同时考虑稳态有效度、维修费用、可靠度等因素,本文通过采用多目标最优化方法确定预防性维修周期。