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
收藏
页码：97 / 110
页数：14
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