摘要
在无更换条件下,针对由两种寿命指标衡量且其中一种无法被控制的装备梯次使用问题进行了研究。构建装备梯次使用问题决策模型,提出以梯次均匀度、寿命匹配度和寿命利用率最大化为目标,使用改进的基于参考点的快速非支配排序遗传算法进行求解。根据问题特性,采用改进的分段编码方式和对应算子,引入重复个体控制机制以提高种群多样性。实验结果显示,当问题规模较大时,提出方法可以在短时间内搜索更大范围,验证了提出方法的可行性。
This paper studied the equipment echelon usage problem measured by two life indicators and one of which was uncontrollable. It constructed the decision-making model of equipment echelon usage problem and used the improved reference point based fast non-dominated sorting genetic algorithm to maximize the echelon uniformity index, life matching index and life utilization index. According to the characteristics of the problem, the method used the improved segmented coding method and corresponding operators. The repeated individual control mechanism improved the population diversity. When the scale of the problem is large, this method can search a larger range in a shorter time, which verifies the feasibility of this method.
作者
苗青林
张晓丰
秦丕胜
刘显光
曹新祥
Miao Qinglin;Zhang Xiaofeng;Qin Pisheng;Liu Xianguang;Cao Xinxiang(College of Equipment Management&UAV Engineering,Air Force Engineering University,Xi’an 710051,China)
出处
《计算机应用研究》
CSCD
北大核心
2023年第3期828-832,共5页
Application Research of Computers