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Computer Research and Modeling, 2019, Volume 11, Issue 3, Pages 533–556
DOI: https://doi.org/10.20537/2076-7633-2019-11-3-533-556
(Mi crm728)
 

This article is cited in 4 scientific papers (total in 4 papers)

MODELS OF ECONOMIC AND SOCIAL SYSTEMS

The application of genetic algorithms for organizational systems’ management in case of emergency

A. S. Sairanov, E. V. Kasatkina, D. G. Nefedov, I. G. Rusyak

Kalashnikov Izhevsk State Technical University, 7 Studencheskaya st., Izhevsk, 426069, Russia
References:
Abstract: Optimal management of fuel supply system boils down to choosing an energy development strategy which provides consumers with the most efficient and reliable fuel and energy supply. As a part of the program on switching the heat supply distributed management system of the Udmurt Republic to renewable energy sources, an “Information-analytical system of regional alternative fuel supply management” was developed. The paper presents the mathematical model of optimal management of fuel supply logistic system consisting of three inter-connected levels: raw material accumulation points, fuel preparation points and fuel consumption points, which are heat sources. In order to increase effective the performance of regional fuel supply system a modification of information-analytical system and extension of its set of functions using the methods of quick responding when emergency occurs are required. Emergencies which occur on any one of these levels demand the management of the whole system to reconfigure. The paper demonstrates models and algorithms of optimal management in case of emergency involving break down of such production links of logistic system as raw material accumulation points and fuel preparation points. In mathematical models, the target criterion is minimization of costs associated with the functioning of logistic system in case of emergency. The implementation of the developed algorithms is based on the usage of genetic optimization algorithms, which made it possible to obtain a more accurate solution in less time. The developed models and algorithms are integrated into the information-analytical system that enables to provide effective management of alternative fuel supply of the Udmurt Republic in case of emergency.
Keywords: genetic algorithm, optimal management, fuel supply, mathematical modeling, alternative energy, emergency.
Received: 02.10.2018
Revised: 17.04.2019
Accepted: 30.04.2019
Document Type: Article
UDC: 519.87
Language: Russian
Citation: A. S. Sairanov, E. V. Kasatkina, D. G. Nefedov, I. G. Rusyak, “The application of genetic algorithms for organizational systems’ management in case of emergency”, Computer Research and Modeling, 11:3 (2019), 533–556
Citation in format AMSBIB
\Bibitem{SaiKasNef19}
\by A.~S.~Sairanov, E.~V.~Kasatkina, D.~G.~Nefedov, I.~G.~Rusyak
\paper The application of genetic algorithms for organizational systems’ management in case of emergency
\jour Computer Research and Modeling
\yr 2019
\vol 11
\issue 3
\pages 533--556
\mathnet{http://mi.mathnet.ru/crm728}
\crossref{https://doi.org/10.20537/2076-7633-2019-11-3-533-556}
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
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    Abstract page:132
    Full-text PDF :142
    References:27
     
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