摘要
维修工作是提高设备可靠性、保证设备正常运行的有效措施,本文建立了维修费用约束下可靠性最大的预维修计划优化模型.该模型以平均可靠性为优化目标,考虑了维修费用、维修间隔、设备运行总时间等约束.本文建立的模型为一般非线性优化问题,设计了基于全局序列二次规划方法(global sequential quadraticprogramm ing,GSQP)的改进遗传算法(GA_GSQP)进行求解.最后,在算例中以GSQP算法、遗传算法和禁忌搜索算法的优化结果作比较,分析了所设计的GA_GSQP遗传算法的优化效果.
Maintenance work plays an important role for the high reliability and normal operations of equipments or systems. This paper proposes a maximum reliability model of maintenance scheduling with the limitation of maintenance costs. The proposed model pursues the maximization of the average reliability of equipments considering the limitation of maintenance costs maintenance, intervals and total runtime. An improved genetic algorithm based on GSQP （GA_GSQP） is also proposed for searching the optimal solutions because the proposed model belongs to a nonlinear optimization. In case studies, the effectiveness and efficiency of GA_GSQP are discussed by comparing with GSQP, genetic algorithm, tabu search.
出处
《系统工程学报》
CSCD
北大核心
2009年第6期717-724,共8页
Journal of Systems Engineering
基金
国家自然科学基金重点资助项目(60634010)
北京交通大学科技基金资助项目(TJ07011)
关键词
遗传算法
设备维修计划
优化模型
genetic algorithms
maintenance scheduling of components
optimum models
