SOLUTION OF THE TASK OF OPTIMIZING THE LOCATION OF THE ELEMENTS OF THE GROUPING OF THE FORCES FOR THE LIQUIDATION OF THE CONSEQUENCES OF EMERGENCIES OF THE RSES

Gorbunov A A; Shangin V N; Ponomorchuk A Yu

doi:doi:

Home / Journals / Problems of risk management in the technosphere / Volume 2017 Issue 2 / SOLUTION OF THE TASK OF OPTIMIZING THE LOCATION OF THE ELEMENTS OF THE GROUPING OF THE FORCES FOR THE LIQUIDATION OF THE CONSEQUENCES OF EMERGENCIES OF THE RSES

SOLUTION OF THE TASK OF OPTIMIZING THE LOCATION OF THE ELEMENTS OF THE GROUPING OF THE FORCES FOR THE LIQUIDATION OF THE CONSEQUENCES OF EMERGENCIES OF THE RSES

Submit manuscript

To cite

Citations:

SOLUTION OF THE TASK OF OPTIMIZING THE LOCATION OF THE ELEMENTS OF THE GROUPING OF THE FORCES FOR THE LIQUIDATION OF THE CONSEQUENCES OF EMERGENCIES OF THE RSES

Journal: PROBLEMS OF RISK MANAGEMENT IN THE TECHNOSPHERE Volume 2017 № 2 , 2017

Rubrics: RISK REDUCTION AND ELIMINATION OF CONSEQUENCES OF EMERGENCY SITUATIONS. ENSURING SAFETY IN CASE OF EMERGENCY

Gorbunov A A ¹

Shangin V N ²

Ponomorchuk A Yu ³

Author and publication information

Authors:

1. Saint-Petersburg university of State fire service of EMERCOM of Russia

2. Saint-Petersburg university of State fire service of EMERCOM of Russia

3. Saint-Petersburg university of State fire service of EMERCOM of Russia

Type:

Article

Pages:

from 31 to 36

Status:

Published

Received:

12.06.2017

Accepted:

20.06.2017

Published:

25.06.2017

Language:

Russian

Keywords:

location selection problem, solution methods, nonlinear optimization problems, exhaustive method, gradient descent method, genetic algorithm

Abstract and keywords

Abstract (English):
The article reveals the issues related to the order of solving optimization problems when making managerial decisions when planning the use of forces and assets of the RSES. The analysis of existing methods for solving nonlinear optimization problems is carried out, their merits and demerits are considered

Keywords:
location selection problem, solution methods, nonlinear optimization problems, exhaustive method, gradient descent method, genetic algorithm

References

1. Gorbunov A.A., Stepanov S.V. Organizaciya vypolneniya prinyatyh resheniy po deystviyam sil Edinoy gosudarstvennoy sistemy preduprezhdeniya i likvidacii chrezvychaynyh situaciy // Problemy upravleniya riskami v tehnosfere. 2015. № 1 (33). S. 104-108.

2. Batischev D.I. Geneticheskie algoritmy resheniya ekstremal'nyh zadach: ucheb. posobie. N. Novgorod, 2007.

3. Skurihin A.N. Geneticheskie algoritmy // Novosti iskusstvennogo intellekta. 1995. № 4.

4. Koza J.R. Genetic Programming: On the Programming of Computers by Means of Natural Selection, The MIT Press, Cambridge. Massachusetts, London, England, 1992.

5. Guzhva D.Yu. Model' vozdeystviya narushitelya na avtomatizirovannye informacionno-upravlyayuschie sistemy MChS Rossii // Problemy upravleniya riskami v tehnosfere. 2011. № 2 (18). S. 73-76.

Submit manuscript

To cite

Citations:

Confirmation

Регистрация