基于GA的系统冗余可靠性设计多目标优化模型  

GA-based optimization model for multi-objective reliability design of system redundancy

作　　者：杨华冰[1] 李执力[1] 何清华[1] 刘一川[2] 

机构地区：[1]防空兵指挥学院,河南郑州450052 [2]军械工程学院,河北石家庄050003

出　　处：《电光与控制》2006年第1期107-109,112,共4页Electronics Optics & Control

摘　　要：系统冗余可靠性多目标设计是一个复合最优化问题。传统的用于解决此类问题的方法,如拉格朗日乘子法、动态规划法、直接寻查法等,在系统单元较多的情况下存在着计算量大、难以获取全局最优解等问题。针对此问题,本文建立了基于遗传算法(GA)的系统冗余可靠性设计的多目标优化模型,该模型可在系统可靠性约束条件下,使系统的成本费用、体积、重量等指标达到最优设计。The multi-objective reliability design of the system redundancy is a problem of complicated opti- mization. Traditional methods for solving the problem, such as Lagrange multiplier, dynamic programming, direct searching and so on, have the drawbacks of heavy computing cost and difficult to acquire the optimum solution when there are many system units. Aiming at these problems, an multi-objective optimization model based on genetic algorithm（GA） for reliability design of system redundancy is constructed. Under the restrictions of the system reliability, the model can result in an optimum design of cost, volume and weight of system.

关 键 词：GA 系统冗余 可靠性设计 多目标优化 

分 类 号：V22[航空宇航科学与技术—飞行器设计]