摘要
针对高超声速飞行器内部空间形状复杂、容积利用率低、质量特性设计困难的特点,提出了一种两级协同进化的飞行器布局优化设计方法。给出了飞行器内部布局优化问题的描述形式,提出了两级协同进化算法并运用局部搜索策略、迁移策略和种群迁移策略以提高计算效率,以X-51高超声速飞行器的内部布局问题为例,建立复合模型并运用两级协同进化算法进行仿真,验证了所提出的优化设计方法的可行性,并提高了求解效率。
The internal space of hypersonic vehicle is complex, which is low in volume utilization and difficult in quality characteristics design. In order to solve these problems, an aircraft layout optimization method was raised based on Bi-level co-operative evolutionary algorithm. A BCCGA algorithm was raised to solve the hypersonic vehicle layout design problem, which uses local search strategies, migration strategies and population migration strategy to improve computational efficiency. At last, the composite model of the aircraft layout optimization was established and the BCCGA was used to solve the example. The feasibility and solving capability were verified by simulating the X-51 layout problem.
出处
《计算机仿真》
CSCD
北大核心
2013年第1期95-99,240,共6页
Computer Simulation
关键词
布局设计
优化设计
协同进化
遗传算法
高超声速飞行器
Layout design
Optimal design
Co-evolutionary algorithm
Genetic algorithm
Hypersonic vehicle
