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    常 艳, 刘 旭, 程文渊, 谢向辉, 崔德刚. 飞机多目标优化设计网格的研究与应用[J]. 计算机研究与发展, 2007, 44(1): 44-60.
    引用本文: 常 艳, 刘 旭, 程文渊, 谢向辉, 崔德刚. 飞机多目标优化设计网格的研究与应用[J]. 计算机研究与发展, 2007, 44(1): 44-60.
    Chang Yan, Liu Xu, Cheng Wenyuan, Xie Xianghui, Cui Degang. Research and Application of Multi-Objective Aircraft Optimization System Based on Grid[J]. Journal of Computer Research and Development, 2007, 44(1): 44-60.
    Citation: Chang Yan, Liu Xu, Cheng Wenyuan, Xie Xianghui, Cui Degang. Research and Application of Multi-Objective Aircraft Optimization System Based on Grid[J]. Journal of Computer Research and Development, 2007, 44(1): 44-60.

    飞机多目标优化设计网格的研究与应用

    Research and Application of Multi-Objective Aircraft Optimization System Based on Grid

    • 摘要: 针对飞机多目标拓扑优化提出一种通用的遗传算法计算模型,在此模型基础上,基于对等计算(P2P)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复合材料多目标拓扑优化问题.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,然后以优化某型大展弦比机翼为例,给出一组实验数据.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.

       

      Abstract: A common computing model of genetic algorithm is proposed for aircraft multi-objective topology optimization. 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 composite material multi-objective topology optimization in aircraft design and discussed in detail are the grid system architecture and the improved multi-objective genetic algorithm. Finally, the solid experimental results of optimizing one type of high aspect ratio wing show that the MOOG has reduced the computation time and has good parallel acceleration.

       

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