首页> 外文会议>High Performance Computing - HiPC 2006; Lecture Notes in Computer Science; 4297 >Island Model Parallel Genetic Algorithm for Optimization of Symmetric FRP Laminated Composites
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Island Model Parallel Genetic Algorithm for Optimization of Symmetric FRP Laminated Composites

机译:岛状模型并联遗传算法优化FRP对称复合材料

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This paper presents an approach to optimal design of composite structures using Island Model Parallel Genetic Algorithm (IMPGA) with a probabilistic migration strategy and in conjunction with 3D Finite Element Method (FEM). The subject problem is computationally intensive and consumes large amount of computer space-time; an attempt has been made to spawn a variable number of processes at each node of IMPGA for FEM analysis. Comparison shows that integrated IMPGA-FEM module outperforms SGA-FEM module with respect to convergence as well as computational time significantly. The present study observes that the speed-up obtained from IMPGA-FEM module is better than the theoretical speed-up. It has also been observed that the incorporation of a probabilistic migration strategy in the IMPGA lead to a much faster and improved converged solution. Results show that for optimization with IMPGA there exists a minimum size of sub-population on each processor below which the performance deteriorates.
机译:本文提出了一种使用岛模型并行遗传算法(IMPGA)结合概率迁移策略以及3D有限元方法(FEM)进行复合结构优化设计的方法。主题问题是计算密集型的,并且消耗大量的计算机时空。试图在IMPGA的每个节点上生成可变数量的进程以进行FEM分析。比较表明,就收敛性和计算时间而言,集成的IMPGA-FEM模块优于SGA-FEM模块。本研究发现从IMPGA-FEM模块获得的加速比理论上的加速要好。还已经观察到,在IMPGA中纳入概率迁移策略可导致更快,更完善的融合解决方案。结果表明,使用IMPGA进行优化时,每个处理器上都有一个最小子集大小,低于这个子集,性能就会下降。

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