Geodesic
The application of optimization algorithm using simulated annealing method for parallel computing systems
Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 12 (2012) no. 1, pp. 110-116

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This article presents the results of the adaptation algorithm for searching the global minimum of multiextreme criterion function of great count of variables with constraints based on the method of simulated annealing algorithm for systems of parallel and distributed computing. The reliability of the searching global minimum, depending on the number of nodes of parallel computer system is investigated. Distributed simulated annealing algorithm using the scheme of quenching, created by Boltzmann allows to search out the area of the global minimum for a short time is represented. 
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     author = {A. N. Savin and N. E. Timofeeva},
     title = {The application of optimization algorithm using simulated annealing method for parallel computing systems},
     journal = {Izvestiya of Saratov University. Mathematics. Mechanics. Informatics},
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A. N. Savin; N. E. Timofeeva. The application of optimization algorithm using simulated annealing method for parallel computing systems. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, Tome 12 (2012) no. 1, pp. 110-116. http://geodesic.mathdoc.fr/item/ISU_2012_12_1_a15/