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

被引：8

作者：

Rajan, SD ^{[1
]}

Nguyen, DT

机构：

[1] Arizona State Univ, Dept Civil Engn, Tempe, AZ 85287 USA

[2] Old Dominion Univ, Dept Civil Engn, Norfolk, VA 23539 USA

来源：

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION | 2004年 / 28卷 / 05期

关键词：

genetic algorithm; load balancing; MPI; parallel processing; structural optimization;

D O I：

10.1007/s00158-004-0412-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：340 / 348

页数：9

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