Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)

For citation:

Savin A. N., Druzhinin I. V., Eroftiev A. A. The Application of a Genetic Algorithm to Global Optimization Problem Solving on Parallel and Distributed Computing Systems. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2013, vol. 13, iss. 1, pp. 99-109. DOI: 10.18500/1816-9791-2013-13-1-1-99-109, EDN: SMXXLH

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
15.02.2013
Full text:
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Language: 
Russian
Heading: 
Computer Sciences
UDC: 
681.3.06, 681.322
DOI: 
10.18500/1816-9791-2013-13-1-1-99-109
EDN: 
SMXXLH

The Application of a Genetic Algorithm to Global Optimization Problem Solving on Parallel and Distributed Computing Systems

Autors: 
Savin Aleksandr Nikolaevich, Saratov State University
Druzhinin Igor Vyacheslavovich, Moscow State Technical University named after N. E. Bauman
Eroftiev Andrei Aleksandrovich, Saratov State University
Abstract: 

This article presents the results of the adaptation of method of searching the global minimum of multiextremal criterion function of multiple variables with constraints based on genetic algorithm for parallel and distributed computing systems. Two variants of genetic algorithm parallelization are proposed. The reliability and performance of parallel versions of an algorithm, depending on its parameters and the number of nodes in parallel computer system is investigated. The reliability of finding the global minimum of criterion function in a small amount of time with proposed parallel variants of genetic algorithm is represented.

Key words: 
global optimization
genetic algorithm
multiextreme criterion function
parallel computing system
References: 
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Received: 
10.08.2012
Accepted: 
27.12.2012
Published: 
15.02.2013
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