Parallel global optimization of high-dimensional problems

被引:0
|
作者
Höfinger, S [1 ]
Schindler, T [1 ]
Aszódi, A [1 ]
机构
[1] Novartis Forschungsinst, A-1235 Vienna, Austria
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
A parallel version of an optimization algorithm for arbitrary functions of arbitrary dimension N has been developed and tested on an IBM-Regatta HPC system equipped with 16 CPUs of Power4 type, each with 1.3 GHz clock frequency. The optimization algorithm follows a simplex-like stochastic search technique aimed at quasi-complete sampling of all the local minima. Parallel functionality is incorporated with the Message Passing Interface - MPI -version 1.2. The program is applied to typical problems of dimension N=60 and N=512 and the results axe analyzed with respect to operability and parallel scalability.
引用
收藏
页码:148 / 155
页数:8
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