基于遗传算法的飞艇结构多目标优化  

Multi-objective optimization of airship structures based on genetic algorithm

作　　者：王雅莉[1] 伞冰冰[1] 朱召泉[1] 

机构地区：[1]河海大学土木与交通学院,江苏南京210098

出　　处：《四川建筑科学研究》2014年第1期39-42,48,共5页Sichuan Building Science

基　　金：国家自然科学基金青年基金(51108159);中央高校基本科研业务费专项项目(2011B07514)

摘　　要：首先,根据软式飞艇结构的力学特点建立了飞艇结构的多目标优化模型,以外荷载作用下飞艇"应力最小"、"变形最小"及"自重最小"为优化目标,确定膜材厚度、膜材弹性模量、飞艇内气压及飞艇细长比为优化变量。其次通过加权系数法将多目标优化转化为单目标问题,并采用遗传算法进行求解。最后,采用此方法对某一飞艇结构进行多目标优化。研究结果表明:飞艇的优化模型是有效的;结合加权系数法和遗传算法,可以获得各个目标均较理想的优化结果;通过进行多目标优化可以为飞艇结构的设计提供合理建议。First, a multi-objective optimization model is proposed for airship structures. Three objectives and four variables are established according to the characteristics of airship structures. There are three objectives ： minimum stress, minimum displacement and minimum weight. There are four variables ： membrane thickness, membrane material elastic modulus, the internal pressure of airship and slenderness ratio. Secondly, weighting method is introduced to combine the three objectives into a single objective and a genetic algorithm is applied to solve this optimization problem. Finally, an example is provided to illustrate the proposed model and method. The study shows that the proposed multi-objective optimization model is feasible and efficient for airship structures;the desired optimal airship structures can be obtained by the weighting method and genetic algorithm. Reasonable suggestions are provided through the multi-objective optimization in the process of design.

关 键 词：软式飞艇 多目标优化 遗传算法 加权系数法 

分 类 号：V274[航空宇航科学与技术—飞行器设计]