带约束的遗传算法理论研究及其在某型飞机耳片优化设计中的应用  

Study of Genatic Algorithms Theory with Constrains and Application in the Optimization Design for the Lug of an Aircraft

作　　者：徐明波[1] 冯琳娜[1] 

机构地区：[1]上海飞机设计研究院,上海200232

出　　处：《科学技术与工程》2011年第32期7967-7971,8003,共6页Science Technology and Engineering

摘　　要：提出一种以相对距离为惩罚因子来构造惩罚函数的方法,并结合浮点数编码遗传算法,成功解决了带约束条件的优化问题。通过该方法对某型飞机平尾操纵螺杆主接头直耳片进行了减重优化设计,在保证原疲劳裕度不变的前提下,重量降低了22.7%,同时给出了不同疲劳裕度对应的最优解,供工程设计参考。A method using relative distance as penalty factor to construct penalty function is presented.Combined with float encoding genetic algorithms,it successfully solve the optimization problem with constrains.Then by using this method,the light weight optimization design is taken for the straight lug of the main joint of horizontal stabilizer control screw of an aircraft.On the premise that the original fatigue margin keeps the same,the weight is reduced 22.7%,meanwhile,the optimal solution correspond to different fatigue margin is given to provide a reference for engineering design.

关 键 词：惩罚函数 浮点数编码遗传算法 优化设计 疲劳裕度 

分 类 号：V225.1[航空宇航科学与技术—飞行器设计]