EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE
A new approach to creation of information control systems at the enterprise is offered. The genetic decision algorithm for the solution of actual problems of nonlinear optimization is developed making it possible to increase the decision quality and speed. The developed procedure of initial populati...
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Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2013-01-01
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Online Access: | http://openbooks.ifmo.ru/read_ntv/4070/4070.pdf |
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doaj-1aa6130cb87345f5aab999bec1a9edc62020-11-25T00:05:07ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732013-01-01131135140EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISEY. O. TchernyshevA. V. BasovaP. A. PanasenkoV. I. PolyakovA new approach to creation of information control systems at the enterprise is offered. The genetic decision algorithm for the solution of actual problems of nonlinear optimization is developed making it possible to increase the decision quality and speed. The developed procedure of initial population initialization is described. The modified operators of crossing-over, mutation are offered, the new approach to rejection of impractical decisions is justified. Introduction in genetic algorithm of macro evolution, that is the development of several subpopulations, is offered. It is noted that work not with one but with several initial populations gives the possibility to receive a bigger variety of genetic material and conduct evolution in separate subpopulations. http://openbooks.ifmo.ru/read_ntv/4070/4070.pdfoptimization genetic algorithminformation systemstransport task |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Y. O. Tchernyshev A. V. Basova P. A. Panasenko V. I. Polyakov |
spellingShingle |
Y. O. Tchernyshev A. V. Basova P. A. Panasenko V. I. Polyakov EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki optimization genetic algorithm information systems transport task |
author_facet |
Y. O. Tchernyshev A. V. Basova P. A. Panasenko V. I. Polyakov |
author_sort |
Y. O. Tchernyshev |
title |
EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE |
title_short |
EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE |
title_full |
EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE |
title_fullStr |
EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE |
title_full_unstemmed |
EVOLUTION MODELING METHODS APPLICATION FOR CIRCULATION OF DOCUMENTS OPTIMIZATION AT THE ENTERPRISE |
title_sort |
evolution modeling methods application for circulation of documents optimization at the enterprise |
publisher |
Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) |
series |
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
issn |
2226-1494 2500-0373 |
publishDate |
2013-01-01 |
description |
A new approach to creation of information control systems at the enterprise is offered. The genetic decision algorithm for the solution of actual problems of nonlinear optimization is developed making it possible to increase the decision quality and speed. The developed procedure of initial population initialization is described. The modified operators of crossing-over, mutation are offered, the new approach to rejection of impractical decisions is justified. Introduction in genetic algorithm of macro evolution, that is the development of several subpopulations, is offered. It is noted that work not with one but with several initial populations gives the possibility to receive a bigger variety of genetic material and conduct evolution in separate subpopulations.
|
topic |
optimization genetic algorithm information systems transport task |
url |
http://openbooks.ifmo.ru/read_ntv/4070/4070.pdf |
work_keys_str_mv |
AT yotchernyshev evolutionmodelingmethodsapplicationforcirculationofdocumentsoptimizationattheenterprise AT avbasova evolutionmodelingmethodsapplicationforcirculationofdocumentsoptimizationattheenterprise AT papanasenko evolutionmodelingmethodsapplicationforcirculationofdocumentsoptimizationattheenterprise AT vipolyakov evolutionmodelingmethodsapplicationforcirculationofdocumentsoptimizationattheenterprise |
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1725426172363276288 |