Parallel global optimization of functions of several variables

被引:0
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作者
Yu. G. Evtushenko
V. U. Malkova
A. A. Stanevichyus
机构
[1] Russian Academy of Sciences,Dorodnicyn Computing Center
来源
Computational Mathematics and Mathematical Physics | 2009年 / 49卷
关键词
global optimization; method of nonuniform coverings; Lipschitzian functions; parallel computing; multiprocessor systems; Morse function for an atomic cluster energy;
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摘要
On the basis of the method of nonuniform coverings, a parallel method for the global optimization of Lipschitzian functions is developed. This method is implemented in C-MPI for the global minimization of functions whose gradient satisfies the Lipschitz condition. The performance of the algorithm is demonstrated using the calculation of the structure of a protein molecule as an example.
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页码:246 / 260
页数:14
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