摘要
针对飞机气动与隐身综合优化设计优化提出一种遗传算法计算模型。在此模型基础上,基于网格技术将分布的计算资源整合为高性能计算环境,以网格服务方式提供统一的资源服务和可视化的用户使用环境,实现多目标优化设计网格,解决飞机设计中遇到的气动与隐身综合综合优化问题。首先对系统体系结构以及多目标遗传算法做出较详细的描述,然后以飞机气动与隐身综合优化设计为例进行计算。结果证明,该系统大大缩短了计算时间,具有良好的并行加速效果,系统优化参数结果满意度很好。
A common computing model of genetic algorithm is proposed for integrated aerodynamic-stealth design. According to this model based on P2P computing, the distributed computational resources are pooled into a high performance-computing environment and providing uniform resource service and visible user using interface. The multi-objective optimization grid （MOOG） is put forward to resolve the integrated aerodynamic-stealth design in aircraft design and discussed in detail are the grid system architecture and the improved multi-objective genetic algorithm. Finally,the integrated aerodynamic-stealth design results of optimizing show that the MOOG has reduced the computation time and has good parallel acceleration.
出处
《科学技术与工程》
2008年第11期2889-2892,共4页
Science Technology and Engineering
关键词
多目标优化
遗传算法
网格计算
气动与隐身一体化设计
multi-objective optimization grid computing integrated aerodynamic-stealth design genetic algorithm
