| 飞机多目标优化设计网格的研究与应用 |
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| 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):44-50. |
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| 作者姓名： | 常艳 刘旭 程文渊 谢向辉 崔德刚 |
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| 作者单位： | 解放军信息工程大学信息工程学院，江南计算技术研究所无锡214083，解放军信息工程大学信息工程学院，北京航空航天大学航空科学与工程学院，江南计算技术研究所，北京航空航天大学航空科学与工程学院 郑州450000，郑州450000，北京100083，无锡214083，北京100083 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 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.
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| 关 键 词： | 网格计算 对等计算 多目标优化 遗传算法 飞机设计 多目标优化设计 网格服务 研究 应用 Grid Based System Optimization Aircraft Application 效果 并行加速 时间 结果 实验数据 机翼 大展弦比 描述 多目标遗传算法 |
| 修稿时间： | 07 4 2006 12:00AM |
Research and Application of Multi-Objective Aircraft Optimization System Based on Grid |
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| 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):44-50. |
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| Authors: | Chang Yan Liu Xu Cheng Wenyuan Xie Xianghui Cui Degang |
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| Affiliation: | 1 Institute of Information Engineering, Information Engineering University, Zhengzhou 450000; 2 Jiangnan Institute of Computing Technology, Wuxi 214083; 3 School of Aeronautic Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083 |
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| 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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| Keywords: | grid computing P2P computing multi-objective optimization genetic algorithm |
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