基于多目标遗传算法的复杂系统可靠性冗余优化  

Multi-objective optimization study of redundancy allocation problem for complex system

作　　者：陈雅菊[1] 

机构地区：[1]武昌船舶重工有限责任公司,湖北武汉430060

出　　处：《舰船科学技术》2010年第9期101-102,114,共3页Ship Science and Technology

摘　　要：提出了将多目标遗传算法用于复杂系统可靠性冗余优化设计的方法。根据系统可靠性冗余的模型,采用多目标遗传优化技术,同时考虑可靠性、费用和重量目标,得到了冗余系统的Pareto最优解。设计者能在这些Pareto解中根据偏好选择最后的折中解。计算了1个3目标的可靠性冗余优化的例子,数值结果表明,多目标遗传算法能迅速搜索到可靠性冗余指标的Pareto解,并且这些解的分布均匀。The redundancy allocation problem,which seeks to find the optimal allocation of redundancy that maximizes system reliability,is one of the representative problems in reliability optimization.This paper optimizes a well known NP-hard combinational problem using multi-objective genetic algorithm.MOGA approach is employed to approximate the set of Pareto solution through evolutionary optimization process.To demonstrate how these methods work,the well-known redundancy allocation problem with 3 objectives was solved.Pareto sets are obtained for this example and the proposed method was verified.

关 键 词：系统可靠性 冗余分配 多目标优化 

分 类 号：TB114.3[理学—概率论与数理统计]