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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Main Authors: Y. O. Tchernyshev, A. V. Basova, P. A. Panasenko, V. I. Polyakov
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2013-01-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
Online Access:http://openbooks.ifmo.ru/read_ntv/4070/4070.pdf
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spelling 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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