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Design optimization of discrete structural systems using MPI-enabled genetic algorithm

机译:基于MPI的遗传算法对离散结构系统的设计优化

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The focus of this paper is on the development and implementation of a genetic algorithm (GA)-based software system using message passing interface (MPI) protocol and library. A customized and improved form of simple GA used in previous research (Chen et al. 1997; Chen and Rajan 1998, 2000; Rajan et al. 1999) is parallelized. This MPI-enabled version is used to find the solution to finite element-based design optimization problems in a network of workstations. Results show that an almost linear speedup is obtained on homogenous hardware cluster and, with a proper load-balancing strategy, on heterogeneous hardware cluster.
机译:本文的重点是利用消息传递接口(MPI)协议和库开发基于遗传算法(GA)的软件系统。并行化了先前研究中使用的定制和改进形式的简单遗传算法(Chen等,1997; Chen和Rajan,1998,2000; Rajaan等,1999)。此支持MPI的版本用于在工作站网络中找到基于有限元的设计优化问题的解决方案。结果表明,在同质的硬件群集上获得了几乎线性的加速,而在采用适当的负载平衡策略的情况下,异构硬件群集获得了几乎线性的加速。

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