A parallel genetic clustering for inverse problems

被引：0
|
作者：
Telega, H [1 ]
Schaefer, R
Cabib, E
机构：
[1] Jagiellonian Univ, Inst Comp Sci, PL-31007 Krakow, Poland
[2] Univ Udine, Dept Civil Engn, I-33100 Udine, Italy
来源：
APPLIED PARALLEL COMPUTING: LARGE SCALE SCIENTIFIC AND INDUSTRIAL PROBLEMS | 1998年 / 1541卷
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 global optimization strategy for an ill posed inverse problem in computational mechanics is proposed. It contains a rough recognition of basins of attraction of local minima (clustering) with the use of genetic algorithms. Two levels of parallelism are involved. Basic asymptotic properties of the proposed genetic clustering will be proved. The computational example of the optimal pretractions design in a network structure (hanging roof) will be also shortly described.
引用
收藏
页码：551 / 556
页数：6
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