A parallel genetic algorithm for heat conduction problems

被引：7

作者：

Tsourkas, P ^{[1
]}

Rubinsky, B ^{[1
]}

机构：

[1] Univ Calif Berkeley, Dept Engn Mech, Biothermal Engn Lab, Berkeley, CA 94720 USA

来源：

NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS | 2005年 / 47卷 / 02期

关键词：

D O I：

10.1080/10407790490515774

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

Genetic algorithms are a global optimization method that is ideally suited for implementation on parallel computers. In this article, a genetic algorithm developed to solve problems in heat conduction is parallelized and run on a parallel computer (IBM SP2). The algorithm presented here contains a novel local search operator that greatly improves its accuracy. The algorithm itself and the parallelization strategy are discussed in the first part of the article, followed by a detailed discussion of the algorithm's results and its performance vis-a-vis its serial version.

引用

页码：97 / 110

页数：14

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