基于MIMIC算法的备件优化模型  

Model of Spare Parts Optimization Based On MIMIC Algorithm

作　　者：张金风[1] 夏桂梅[1] 张文林[1] 

机构地区：[1]太原科技大学应用科学学院,太原030024

出　　处：《太原科技大学学报》2015年第2期154-159,共6页Journal of Taiyuan University of Science and Technology

基　　金：山西省自然科学基金项目(2014011006-2)

摘　　要：备件是系统能够完成任务的重要保障,是影响系统可靠度的重要条件,结合当前备件优化的工程需求,建立了基于分布估计算法的备件优化模型,利用Minmax思想将备件约束优化问题转化为无约束备件优化问题,并利用双变量相关MIMIC算法求解备件的最优配置。数值实验表明,提出的算法能有效地解决备件优化问题,且与其他算法进行比较,该算法能在满足系统任务可靠度时,得到较少费用的最优配置。Spare parts play an important role for the system to complete task,and have much influence on system reliability. In this paper,the model of spare parts optimization based on estimation of distribution algorithms is pro-posed for the need of current project,the constrained optimization problems of spare parts are transformed into un-constrained optimization problems of spare parts through Minmax algorithm,then the MIMIC algorithm is applied to solve the optimization configuration of spare parts. The simulation results show that the proposed algorithm can solve the spare parts optimization problem,and the optimization configuration of spare parts of the algorithm can satisfy the system reliability with less cost when comparing with other algorithms.

关 键 词：可靠度 备件优化模型 最优配置 MIMIC算法 

分 类 号：O221[理学—运筹学与控制论]